Ofertas de Data Science

64 ofertas abiertas
PythonGitSQL

Los requisitos del cargo son:

  • Conocimientos demostrables en analítica avanzada, sean por estudios o experiencia laboral.
  • Manejo de Python, SQL y Git.
  • Conocimiento de bases de datos relacionales
  • Conocimiento de:
    • Procesamiento de datos (ETL)
    • Machine Learning
    • Feature engineering, reducción de dimensiones
    • Estadística y analítica avanzada

Tus responsabilidades serán:

  • Recolectar, limpiar y organizar grandes volúmenes de datos provenientes de diversas fuentes, como bases de datos, archivos planos, APIs, entre otros. Aplicando técnicas de análisis exploratorio para identificar patrones y resumir las características principales de los datos, así como para entender el problema del cliente.
  • Desarrollar modelos predictivos utilizando técnicas avanzadas de aprendizaje automático y estadística para predecir tendencias, identificar patrones y realizar pronósticos precisos
  • Optimizar algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad, ajustando parámetros y explorando nuevas técnicas
  • Crear visualizaciones claras y significativas para comunicar los hallazgos y resultados al cliente, de manera efectiva
  • Comunicar los resultados efectivamente, contando una historia para facilitar la comprensión de los hallazgos y la toma de decisiones por parte del cliente
  • Diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguaje de programación como Python, R o SQL
  • Trabajo colaborativo: colaborar con equipos multidisciplinarios para abordar problemas complejos y proporcionar soluciones integrales al cliente, además de participar en proyectos de diversa complejidad, asegurando la calidad de los entregables y el cumplimiento de los plazos establecidos.
  • Investigar y mantenerse actualizado en análisis de datos, inteligencia artificial y metodologías para mejorar las capacidades analíticas, adquiriendo rápidamente conocimientos sobre diversas industrias y herramientas específicas

Algunos deseables no excluyentes:

Experiencia con:

  • Herramientas de BI (Power BI o Tableau)
  • Servicios cloud (Azure, AWS, GCP)
  • Conocimiento de bases de datos no relacionales (ej: Mongo DB)
  • Conocimiento en optimización

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonData AnalysisSQL

Los requisitos del cargo son:

  • Formación en Ingeniería Civil Industrial/Matemática/Computación, o carrera afín
  • 1 a 2 años de experiencia laboral en:
    • Proyectos BI
    • Herramientas de visualización como PowerBI, Tableau, QikView u otros
    • Soluciones de BI en entornos cloud (ejemplo, Azure y Power BI Service)
    • Fuentes de datos (SQL Server, MySQL, API, Data Lake, etc.)
    • Desarrollo de queries en SQL
    • Desarrollo de modelos de datos para usos analíticos y programación de ETLs
  • Inglés profesional

Tus responsabilidades serán:

  • Recolectar y analizar datos de diversas fuentes para identificar patrones y tendencias. Extraer insights significativos para comprender el rendimiento presente y futuro del negocio.
  • Crear modelos de datos adaptados a distintos proyectos y sectores.
  • Crear y optimizar informes, paneles y cuadros de mando para una presentación efectiva de la información, utilizando herramientas de BI como Tableau, Power BI o QlikView.
  • Identificar oportunidades de mejora de procesos mediante análisis de datos.
  • Mantener y actualizar bases de datos para garantizar su integridad y calidad.
  • Brindar formación y soporte al equipo en el uso de herramientas de Business Intelligence. Colaborar con equipos diversos para crear soluciones integrales. Entender las necesidades del cliente y proponer mejoras y soluciones proactivas.
  • Monitorear modelos de data science y machine learning. Mantener la calidad de datos en flujos de información. Gestionar la seguridad y la escalabilidad de entornos cloud de BI.

Algunos deseables no excluyentes:

  • Conocimiento de Python o R
  • Manejo de Big Data en miras de establecer reportería

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonData ScienceEnglish

Los requisitos del cargo son:

  • Titulación en Ingeniería Civil Industrial, Ingeniería Industrial, Economía o áreas afines.
  • Experiencia laboral mínima de 4 a 6 años en consultoría o roles relacionados.
  • Dominio avanzado de herramientas de Office y/o Google.
  • Pensamiento Analítico: Capacidad para analizar datos y extraer información significativa que respalde la toma de decisiones.
  • Conocimiento profundo de diversas herramientas y soluciones digitales.
  • Inglés fluido para comunicarse oralmente con los clientes.

Tus responsabilidades serán:

  • Realizar investigaciones exhaustivas y análisis de información relevante para el proyecto.
  • Desarrollar diagnósticos y proponer soluciones adaptadas a las necesidades específicas de cada cliente, utilizando un enfoque analítico y estratégico.
  • Crear entregables innovadores y orientados a resultados, con un enfoque en la transformación digital.
  • Aplicar rápidamente el aprendizaje adquirido de diversas industrias y herramientas para abordar los desafíos de cada cliente.
  • Presentar de manera efectiva los hallazgos y resultados del proyecto, adaptándose a las necesidades de los stakeholders del cliente.
  • Contribuir a la elaboración de propuestas para potenciales clientes, mediante un análisis detallado de la industria y la identificación de soluciones adecuadas.
  • Construir y mantener relaciones sólidas con los clientes, actuando como un socio estratégico en su camino hacia el éxito.
  • Apoyar al equipo en la planificación estratégica y en la transferencia de conocimientos y mejores prácticas.

Algunos deseables no excluyentes:

  • Deseable experiencia en programación en Python y uso de herramientas de visualización como PowerBI o Tableau.
  • Conocimiento o nociones de Data Science.

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonSQLMachine Learning

Los requisitos del cargo son:

  • Formación en Ingeniería Civil Industrial/Matemática/Computación, Física, Estadística, carreras afines, o experiencia equivalente en análisis avanzado de datos.
  • Experiencia laboral de al menos 4 años en roles de análisis de datos, preferiblemente en industrias relevantes.
  • Experto en Python, SQL y Git, con habilidades demostradas en el desarrollo de modelos analíticos y aplicaciones.
  • Amplio conocimiento de bases de datos relacionales y no relacionales, así como experiencia en procesamiento de datos (ETL).
  • Profundo conocimiento en machine learning, feature engineering, reducción de dimensiones, estadística avanzada y optimización.
  • Inglés avanzado.

Tus responsabilidades serán:

  • Análisis de Datos: Aplicar técnicas avanzadas de análisis exploratorio para comprender la estructura y características de grandes volúmenes datos, provenientes de diversas fuentes.
  • Desarrollo de Modelos Predictivos Avanzados: utilizar técnicas avanzadas de aprendizaje automático y estadística para desarrollar modelos predictivos robustos que permitan predecir tendencias, identificar patrones y realizar pronósticos precisos.
  • Optimización de Algoritmos y Modelos: dirigir la optimización de algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad.
  • Visualización y Comunicación de Datos: crear visualizaciones claras y significativas para comunicar los hallazgos y resultados de manera efectiva al cliente y a otros stakeholders clave.
  • Desarrollo de Herramientas Analíticas: diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguajes de programación como Python, R o SQL.
  • Gestión de Proyectos: liderar frentes de un proyecto relacionados al análisis de datos complejos, desde la conceptualización hasta la implementación, planificando estratégicamente los hitos y entregables acordados con los clientes.
  • Investigación y Desarrollo Continuo: mantenerse actualizado en las últimas tendencias y avances en análisis de datos, inteligencia artificial y metodologías relacionadas. Compartir conocimientos y experiencias con el equipo para fomentar un ambiente de aprendizaje continuo.
  • Contribución a Propuestas y Desarrollo de Negocios: colaborar en el desarrollo de propuestas internas para potenciales clientes, utilizando su experiencia y conocimientos para identificar oportunidades y diseñar soluciones innovadoras.
  • Apoyar al equipo desde un rol de mentor, traspasando conocimientos y buenas prácticas, proporcionándole capacitación personalizada según las necesidades individuales de los miembros.

Condiciones

  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Días de vacaciones adicionales a lo legal y medio día libre de cumpleaños. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por desempeño de la empresa, además de bonos por trabajador referido y por cliente.
  • Almuerzos quincenales pagados con el equipo (Chile) o Tarjeta de Alimentación (México).
  • Cobertura de salud adicional (Mexico).
  • Computadora de altos specs para trabajar cómodamente.
  • Flexibilidad horaria y trabajo por objetivos.
  • Posibilidad de participar en proyectos a nivel global, con intercambios con otros países con presencia del grupo.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Ciudad de México).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Data governanceTeam ManagementData Architecture

Los requisitos del cargo son:

  • Experiencia mínima de 3 años en el uso de herramientas de gestión de datos.
  • Experiencia previa en la gestión estratégica de equipos multidisciplinarios.
  • Conocimientos avanzados de Python o Pyspark y experiencia en su aplicación en proyectos de datos.
  • Experiencia en el diseño e implementación data warehouse, data lakes y data lake house
  • Desarrollo de soluciones de disponibilización de datos.
  • Experiencia práctica con al menos uno de los principales almacenes de archivos en la nube.
  • Buen manejo del inglés.

Tus responsabilidades serán:

  • Diseñar arquitecturas de datos que cumplan con los requisitos de los clientes y se alineen con su estrategia empresarial, asegurando la adherencia a los principios de gobernanza de datos.
  • Diseñar, implementar, mantener y actualizar estructuras de almacenamiento de datos transaccionales y analíticas, garantizando la integridad y disponibilidad de los datos.
  • Extraer datos de diversas fuentes y transferirlos eficientemente a entornos de almacenamiento de datos.
  • Diseñar e implementar procesos que soporten grandes volúmenes de datos en entornos de Big Data, utilizando herramientas y tecnologías pertinentes en cada proyecto.
  • Comunicar hallazgos, resultados y diagnósticos efectivamente, contando una historia para facilitar la comprensión de los hallazgos y la toma de decisiones por parte del cliente
  • Colaborar con equipos multidisciplinarios en la gestión estratégica de proyectos, asegurando la entrega oportuna y exitosa de soluciones de datos.
  • Desarrollar y mantener soluciones en la nube y on premise.
  • Utilizar metodologías ágiles para el desarrollo y entrega de soluciones de datos, adaptándose rápidamente a los cambios y requisitos del proyecto.
  • Apoyar al equipo traspasando conocimientos y buenas prácticas, apoyando en la capacitación y aprendizaje continuo según las necesidades individuales de los miembros
  • Gestionar al equipo mediante una planificación estratégica del proyecto, asegurando una distribución eficiente de tareas y una comunicación clara de los objetivos.

Algunos deseables no excluyentes:

  • Experiencia en consultoría y/ proyectos de estrategia o transformación digital
  • Experiencia con servicios de procesamiento y almacenamiento de datos de AWS o GCP, Azure
  • Certificaciones

Algunos de nuestros beneficios:

  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros (Chile).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

SQLPythonData Warehousing

Requerimientos del cargo

  • Experiencia con SQL (consultas complejas, transformaciones, modelado)
  • Conocimiento de Python para procesamiento y automatización de datos
  • Familiaridad con conceptos de data warehousing o arquitecturas de datos en capas
  • Capacidad de trabajar de forma autónoma en entorno remoto
  • Interés genuino en el sector energético o en datos regulatorios

Funciones del cargo

  • Desarrollar y mantener scrapers para fuentes regulatorias del mercado eléctrico (Coordinador, CEN, CNE, SEA)
  • Automatizar la ingesta de datos desde portales públicos y APIs regulatorias
  • Normalizar y cargar datos extraídos hacia la capa de almacenamiento en AWS
  • Apoyar el mantenimiento de modelos de datos en capas Silver/Gold
  • Documentar pipelines, fuentes y lógica de extracción
  • Colaborar con el Analytics Engineer senior en el diseño y evolución de la arquitectura

Opcionales

  • Experiencia con AWS (S3, Glue, Athena)
  • Conocimiento del mercado eléctrico chileno (MCDP, licitaciones, tarifas)
  • Experiencia con dbt o herramientas similares de transformación
  • Familiaridad con herramientas de visualización (Metabase, Power BI, Looker)

Condiciones

  • 100% Remoto, Residencia en Chile o disponiblidad para viajar a Santiago de Chile una vez al mes.
  • Sueldo de mercado
  • Equity (sujeto a condiciones)
PythonRSQL

Experience and Skills

  • 8+ years of experience in risk management, underwriting, or credit analytics within fintech, lending, or specialty finance environments
  • C1 English level or higher
  • Proven track record building AI/ML-driven credit models, risk scorecards, and pricing frameworks
  • Strong proficiency with Python, R, SQL, and Excel
  • Deep expertise in risk-adjusted pricing, portfolio management, loss forecasting, and modeling techniques (regression, ML, ensemble methods, decision trees, neural networks)
  • Experience managing and mentoring small, high-impact data or risk teams
  • Solid understanding of cash-flow and alternative-data underwriting

Skills

  • Python
  • R
  • SQL
  • Machine Learning
  • Credit Scoring
  • Risk Management
  • Predictive Modeling
  • Underwriting
  • Portfolio Management
  • Loss Forecasting

Key Responsibilities

  • Design, build, and maintain risk scorecards, credit underwriting models, and offer calculation engines using advanced AI/ML techniques
  • Establish and lead the end-to-end risk management framework, including credit, operational, and portfolio risk strategies
  • Develop and optimize risk-adjusted return strategies, loss forecasting, pricing optimization, and portfolio performance analysis
  • Leverage alternative data sources, such as bank, cash flow, behavioral, and third-party data, to improve underwriting accuracy
  • Partner with Product, Data, Engineering, and Finance teams to integrate ML models into fully automated decisioning workflows
  • Build early-warning systems and real-time monitoring tools using machine learning to detect anomalies, fraud, and emerging risk patterns
  • Lead, mentor, and review the work of a small team of data scientists while remaining directly involved in technical execution
  • Deliver clear, data-driven reporting to internal stakeholders, board members, and capital partners while ensuring regulatory compliance

Nice to Have

  • MLOps
  • Model Deployment
  • Alternative Data
  • Automated Decisioning

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonSQLBig Data

Experience and Skills

  • 5+ years of dedicated data engineering experience, demonstrating senior-level autonomy and technical ownership
  • C1 English level or higher, with excellent verbal and written communication skills
  • Expert-level Python programming and advanced SQL query optimization skills
  • Hands-on experience with streaming systems such as Kafka, AWS MSK, or AWS Kinesis
  • Proven track record of pipeline development using Apache Spark or native Python frameworks
  • Technical experience managing Apache Iceberg or Delta Lake table formats on AWS S3
  • Direct experience productionalizing workflows with Apache Airflow, Dagster, or AWS Step Functions
  • Deep familiarity with AWS data services including S3, AWS Glue, Athena, and EMR
  • Specialized experience in time-series, IoT, SCADA, or industrial sensor data modeling techniques
  • Background in building data quality assurance, schema validation, and monitoring systems
  • Ability to maintain core working hours aligned with the US Central Time (CT) zone

Skills

  • Python
  • SQL
  • Apache Spark
  • Kafka
  • AWS MSK
  • AWS Kinesis
  • Apache Iceberg
  • Delta Lake
  • AWS S3
  • Apache Airflow
  • Dagster
  • AWS Step Functions
  • AWS Glue
  • Athena
  • EMR
  • IoT Data Modeling
  • Time-series Data

Key Responsibilities

  • Design, build, and maintain scalable ETL and ELT pipelines using Spark and Python.
  • Build real-time data ingestion streams to capture continuous sensor and time-series data.
  • Implement and optimize lakehouse table formats to ensure fast query performance.
  • Manage and schedule complex data workflows using orchestration tools to guarantee timely data delivery.
  • Implement automated data quality checks, schema validation, and monitoring frameworks.

Nice to Have

  • dbt

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Data EngineeringPythonSQL

Experience and Skills

  • 5+ years of experience designing and operating production data pipelines at scale, ideally within fintech or lending environments
  • Proven ability to quickly understand a business domain and how its data is generated, and translate that into architecture decisions
  • Demonstrated experience inheriting legacy data structures and remediating them end-to-end — data cleanup, deduplication, and quality frameworks
  • Strong proficiency in Google Cloud (BigQuery) and working knowledge of Azure (Data Factory, ADLS)
  • Production-level Python and strong SQL fluency, including BigQuery-specific optimization patterns like partitioning, clustering, and cost control
  • Experience implementing medallion architecture with explicit schema contracts and lineage between layers
  • Experience mentoring engineers or leading small teams is a plus
  • Hands-on by default — you build, not just direct
  • Fluent spoken Spanish

Skills

  • Data Engineering
  • Python
  • SQL
  • Google Cloud
  • BigQuery
  • Azure
  • Azure Data Factory
  • ADLS
  • Medallion Architecture
  • Data Governance

Key Responsibilities

  • Own the end-to-end data platform: architecture, pipelines, quality, and governance.
  • Develop a deep understanding of the business and how its data is generated, and translate that into architecture and design decisions.
  • Drive the remediation and optimization of existing data assets, ensuring quality, consistency, and reliability across core datasets.
  • Design, build, and operate reliable data pipelines between SQL Server, BigQuery, and third-party integrations.
  • Define and implement the target data architecture, including layered modeling (medallion), data cataloging, and lineage.
  • Establish governance practices across the platform — auditability, access, and cost efficiency across BigQuery and Azure.
  • Partner with cross-functional stakeholders (Underwriting, Collections, Product) to align data capabilities with business needs.
  • Shape the long-term cloud and data strategy, and mentor engineers as the team grows.

Nice to Have

  • Databricks
  • Unity Catalog
  • Apache Airflow
  • Dagster
  • GitHub Actions

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

SQL ServerReporting ServicesSource Control

Qualifications and requirements

  1. 8-10 years of professional experience programming
  2. Experience with some or all of the following technologies:
  • Microsoft SQL Server2008/2012/2017/2019 MySQL or other relational databases including stored procedures, views and triggers
  • Microsoft SQL Server Reporting Services or other reporting tool
  • Team Foundation Server, Visual Source Safe, Subversion or other source control product
  1. Experience developing, enhancing and customizing configurable applications is desirable
    1. A mentor roll to those who are junior on the team
    2. This role will be a SME for Data Engineering,
  2. Domain experience in any of the following is desirable:
  • Mobile device applications include Smartphone and Tablet
  • Electronic Data Capture applications
  • Clinical Trial Management Systems
  1. Experience estimating development and support tasks
  2. Familiarity with 21 CFR Part 11 or experience in a regulated environment desirable

Job functions

KEY ACCOUNTABILITIES

  1. Assume responsibility for the design, development and on-time delivery of project specific configurations and customizations
  2. Work directly with the external and internal clients to prepare, adapt, or agree on all specifications
  3. Create and document system design specifications and other technical documents as required
  4. Understand and follow all coding standards
  5. Create robust, well documented code
  6. Create database objects as required
  7. Complete unit testing and peer review documentation as required
  8. Support test script development and performance of user acceptance testing
  9. Support all phases of testing by efficiently diagnosing and resolving defects
  10. Recommend, design and implement on-going application and architectural improvements

DECISION MAKING AND INFLUENCE

The Senior Data Engineer role will interact with internal and external stakeholders in order to provide to our internal and external clients with extracts to reduce uncertainty, discover (new) relationships between data, separate signal from noise to help and assist in taking the better- informed decision.

To achieve these results, the Senior Data Engineer role:

  • will be required to make decisions on the best technical approach in order to implement the client's requirements
  • will use his knowledge and skills to come up with solutions and ideas to meet internal and external client's needs and expectations

Desirable skills

  1. Strong verbal and written communication skills
  2. Ability to complete high quality technical documentation
  3. Demonstrate extreme attention to detail and organization in all aspects of work
  4. Ability to quickly learn and apply new skills, procedures and approaches
  5. Demonstrated ability to meet very short deadlines & multi-task in an extremely fast-paced work environment with little direct supervision
  6. Proven ability to work both independently and in a team-oriented environment, providing back-up support to team members & establishing/maintaining effective work relationships with co-workers within and across functional areas
  7. Previously demonstrated proactive and positive approach to tasks and projects overall, as well as to the types of scheduling & process changes that are inherent in a fast-paced business

Conditions

Language: Resumes must be submitted in English.

Data EngineeringDBTETL

Requirements:
  • At least 2 years of experience working with US based companies.
  • Very high English proficiency (clear communication, strong writing, and the ability to collaborate effectively)
  • At least 4 years of data engineering experience including experience with dbt and the modern data stack
  • Product and user orientated.
  • At least 12 months of experience working exclusively in an agentic coding environment (e.g., Claude Code, Codex)

We are looking for an experienced Data Engineer to help us improve data quality, fix existing data issues, and ingest more data from APIs and LLM-based sources to complement our current datasets.
You’ll proactively turn ambiguous requirements into well-structured engineering plans. You’ll communicate trade-offs and risks early, and you’ll verify outcomes through hands-on testing. You’ll bring a “build, measure, improve” mindset to performance, reliability, and user experience.
  • Leverage coding agents but also think through problems and review data independently of coding agents.
  • Design, build, and maintain dbt pipelines for our analytics and operational workloads
  • Build and maintain ETL/ELT processes to ingest data from multiple APIs and other external sources
  • Set up and manage workflows in orchestration platforms such as Dagster
  • Develop and refine data models to support analytics, reporting, and downstream products
  • Diagnose and fix data quality issues (duplicates, missing fields, inconsistent formats, incorrect mappings, etc.)
  • Implement robust data cleaning and validation checks
  • Integrate LLM-based data enrichment (e.g., using OpenAI or similar APIs) to improve and complement event data
  • Collaborate with our product and ops team to understand data needs and translate them into technical solutions

  • Data / web scraping experience
  • Practical experience integrating external enrichment workflows with LLMs while maintaining traceability and data validity
  • Some experience with DevOps, CI/CD, and database management

  • We provide a 100-200 USD Stipend for coding agents.
  • High ownership of the codebase and the product
PythonMachine LearningDeep Learning

Conocimientos técnicos

  • Python, Jupyter
  • Autoencoder
  • Experiencia desarrollando sistemas de Machine Learning / Deep Learning
  • Experiencia trabajando con embeddings vectoriales para imágenes y/o texto
  • Manejo de modelos de visión computacional y multimodales
  • Similarity search y bases de datos / vector stores
  • Algoritmos de similitud: cosine similarity, Euclidean distance, dot product, etc.
  • CLIP, OpenCLIP, SigLIP u otros modelos de embeddings de imágenes
  • OpenSearch Vector Search
  • Embeddings de texto
  • LLMs para comparar títulos y descripciones
  • Técnicas de semantic similarity
  • Prompt engineering
  • Structured outputs / JSON
  • Modelos de reranking o cross-encoders
  • AWS

Deseables

  • Redis
  • DynamoDB

Buscamos una persona con experiencia desarrollando soluciones de Machine Learning y Deep Learning, que disfrute trabajar con datos y resolver problemas complejos. También buscamos experiencia experimentando y evaluando modelos, construyendo y validando datasets, trabajando con fine-tuning o adaptación de modelos preentrenados y desarrollando pipelines de Machine Learning para entrenamiento e inferencia. Será importante que tengas experiencia diseñando experimentos reproducibles y evaluando el desempeño de modelos mediante métricas como precision, recall y F1.

StreamingPythonSQL

REQUIRED SKILLS & EXPERIENCE

  • Minimum of 5 years of experience as a Data Engineer or in a similar role.
  • Strong hands-on experience with Databricks and Apache Spark.
  • Advanced SQL and Python skills.
  • Experience working in cloud environments (Azure preferred).
  • Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts.
  • Ability to work independently while collaborating with distributed teams.

KEY RESPONSIBILITIES

  • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
  • Define data architectures that support batch and streaming processing.
  • Integrate data from multiple sources, including databases, APIs, and cloud storage.
  • Optimize data solutions for performance, reliability, and cost efficiency.
  • Collaborate closely with data science, analytics, and business teams.
  • Provide technical leadership and guidance on data engineering best practices.
  • Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.
  • Document data architectures, pipelines, and technical decisions.
  • Support production systems and troubleshoot data-related issues as needed.

DESIRABLE SKILLS

  • Experience designing enterprise-scale data platforms.
  • Experience building, supporting, and scaling production-grade data pipelines in enterprise environments.
  • Exposure to analytics, BI, or data science workloads.
  • Familiarity with CI/CD practices for data engineering.
  • Strong communication skills with both technical and non-technical stakeholders. Any certifications for Databricks or Apache are a plus.

BENEFITS

• Competitive salary
• Flexible work environment
• Opportunities for growth and certifications
• Inclusive and collaborative team culture
• Access to cutting-edge tools and technologies

Adobe AnalyticsJavaScriptConversion Tracking

Required Skills

5+ years of experience in Adobe Analytics and digital analytics implementation. Strong hands-on knowledge of Adobe Analytics and Analysis Workspace. Strong experience with Adobe Launch / AEP Data Collection. Experience with Adobe Web SDK and Adobe Mobile SDK. Strong understanding of conversion funnels, customer journeys, KPIs, and digital measurement. Experience building development, QA, and post-production monitoring dashboards. Experience implementing and troubleshooting pixels, tags, events, and conversion tracking. Good understanding of JavaScript, HTML, data layers, cookies, local storage, and session storage. Ability to troubleshoot analytics issues across Web and Mobile. Strong analytical, debugging, and problem-solving skills.
The ideal candidate should be able to handle the complete analytics lifecycle across Web and Mobile — understand business measurement requirements, validate Mobile SDK implementations, build Adobe Analytics dashboards, and monitor production data.
The person should be capable of independently identifying whether an issue originates from the application implementation, Launch/Mobile SDK configuration, Edge/Datastream setup, data collection, or Adobe Analytics reporting and work with the appropriate teams to resolve it.

Key Responsibilities

Build and maintain Adobe Analytics Analysis Workspace dashboards for development, QA, and production monitoring. Create development/pre-production dashboards to validate analytics implementations before production releases. Create post-production dashboards to monitor KPIs, conversion funnels, customer journeys, and application performance.
Monitor funnel performance and identify unexpected drop-offs or changes in conversion. Validate end-to-end customer flows across web and mobile applications. Verify page/screen views, clicks, interactions, conversions, and other key events are captured correctly. Identify missing events, duplicate events, tracking gaps, data discrepancies, and unexpected increases in event volume.
Work closely with Product, Development, QA, and Analytics teams during implementation and release validation.
Adobe Launch & Web Implementation:Hands-on experience with Adobe Experience Platform Data Collection (Adobe Launch). Implement and troubleshoot Adobe Analytics and third-party marketing pixels/tags. Validate implementations using Adobe Experience Platform Debugger, browser Developer Tools, and network requests.
Adobe Mobile SDK Experience:The candidate should have strong hands-on experience implementing and troubleshooting analytics for iOS and Android mobile applications. Experience with Adobe Experience Platform Mobile SDK. Experience configuring Adobe Mobile SDK extensions and integrating them with Adobe Experience Platform. Understanding of Edge Network and Edge Identity extensions for mobile applications.

Preferred Skills

Adobe Launch / AEP Data Collection. Experience with Adobe Web SDK and Adobe Mobile SDK

Good to have knowledge on Customer Journey analytics
JavaScriptHTMLDOM Manipulation

Required Skills

We are looking for a Data Layer Developer with strong, practical JavaScript skills and hands-on experience implementing event-driven analytics tracking.
  • Strong JavaScript (ES6+) knowledge
  • HTML5 and DOM manipulation
  • JSON and nested object handling
  • Understanding of event-driven architecture
  • Ability to implement custom events and event listeners
  • Comfort using browser developer tools to debug and validate behavior
  • Experience with Adobe Client Data Layer (ACDL)
  • Experience with data mapping and payload validation
We also value clear communication, attention to detail, and ownership of quality. You should be able to validate tracking against expectations, keep implementations aligned with documentation and standards, and collaborate effectively with analytics and engineering teammates.

Responsibilities

  • Develop and maintain event-driven data layers
  • Implement custom JavaScript events and tracking
  • Build structured JSON payloads for analytics
  • Collaborate with analytics and development teams
  • Debug and validate tracking implementations
  • Maintain documentation and tracking standards
  • Support SPA tracking implementations

Preferred Skills

  • Experience with analytics implementations
  • SPA frameworks like React.js or Angular
  • Knowledge of Adobe Analytics or tag management systems

Benefits

  • 100% remote work environment
  • Collaborative and supportive international team culture
  • Fun and engaging team environment with strong camaraderie
  • Exposure to a wide variety of digital projects and initiatives
  • Birthday day off
  • Opportunity to work within a highly dynamic retail digital ecosystem
  • Continuous collaboration with experienced Scrum Masters and multidisciplinary teams
Power BIPythonData Integration

Experience and Skills

  • 6+ years of experience in data engineering or related data-focused roles.
    Professional Spanish for daily collaboration.
    Hands-on production experience building and operating data pipelines on AWS.
    Advanced SQL and relational data modeling skills.
    Strong experience with Power BI for business reporting and visualization.
    Production experience with Python for data processing.
    Strong collaboration, stakeholder communication, reliability and adaptability.

Key Responsibilities

  • Ingest, process, and transform data from multiple source systems into AWS-based data platforms.
  • Design and maintain integration flows for data movement between source and target systems, adhering to established standards.
  • Ensure data delivered to Power Apps applications and Power BI reports meets quality, consistency, and timeliness requirements.
  • Partner with product and business teams to identify data needs, evaluate source systems, and assess technical constraints.
  • Build data engineering solutions aligned with internal data strategy while maintaining autonomy and meeting committed timelines.

Power Apps.
AWS Lambda, S3 and Glue.
Apache Airflow.
dbt.
Snowflake.
Data quality, observability and lineage.
CI/CD for data pipelines.

Benefits

Work on high-impact data initiatives for a global resources and industrial operations company. This is a fully remote, full-time contractor role for candidates based in LATAM, paid monthly in USD.

You will join an established data engineering team as an individual contributor and collaborate directly with product and business stakeholders while working on reliable production data systems.

Marketing AnalyticsSalesforceAttribution Modeling

Experience and Skills

  • 5+ years of experience in Marketing Analytics, Revenue Analytics, or a related field.
  • C1 English level or higher.
  • Proven experience building production-ready AI applications, agents, or automations (beyond simple prompting or using standalone tools).
  • Demonstrated experience building AI-driven reporting and data preparation solutions.
  • Strong working knowledge of multi-channel marketing reporting and campaign performance measurement.
  • Working knowledge of Salesforce (SFDC) reporting structures, campaign hierarchies, and data quality practices.
  • Hands-on experience with AI Agents, AI Application Development, Attribution Modeling, Data Automation, Campaign Measurement, Claude, automation.

Skills

  • AI Agents
  • AI Application Development
  • Marketing Analytics
  • Revenue Analytics
  • Salesforce
  • Attribution Modeling
  • Data Automation
  • Campaign Measurement
  • Claude
  • automation

Key Responsibilities

  • Design, ship, and maintain production-ready AI agents and applications to automate marketing tasks, operational workflows, and campaign execution.
  • Build and scale AI-driven reporting solutions that automate data preparation, analysis, narrative generation, and recurring business readouts.
  • Own and evolve the marketing reporting ecosystem, connecting data sources such as Salesforce, Marketo, and Gong.
  • Develop multi-channel attribution models to guide investment decisions and map the buyer journey.
  • Translate complex analytical findings and AI outputs into clear, actionable business recommendations for leadership.
  • Collaborate with Revenue Operations and marketing teams to align data definitions, reporting logic, and shared KPIs.

Nice to Have

  • Claude Code
  • n8n
  • Zapier
  • Make
  • Power BI
  • DAX
  • Power Automate
  • SQL
  • APIs

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Amazon RedshiftSQLQuery Optimization

You bring:

  • - 5+ years of data engineering experience with deep production expertise in Amazon Redshift or Redshift Serverless.
  • - Advanced SQL and demonstrated query tuning on large datasets.
  • - Hands-on experience with S3, Glue, Lambda, IAM, and Redshift Spectrum.
  • - Experience with Airflow, dbt, Glue, or similar ETL/ELT tools.
  • - C1 English and the ability to work independently with stakeholders.

You will:

  • - Review the current Redshift setup and identify performance, cost, reliability, and design issues.
  • - Tune distribution keys, sort keys, compression, queries, and Workload Management.
  • - Build and maintain ETL/ELT pipelines using Redshift and the AWS data stack.
  • - Improve analytics-ready data models and document the changes and operating practices.

Nice to have:

  • Python, dbt, product analytics data pipelines, and experience in fintech or another regulated industry. These qualifications are optional.

Benefits

Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 25 per hour.

Amazon RedshiftSQLQuery Optimization

Experience and Skills

  • Senior data engineer with 5+ years of data engineering experience and deep hands-on Amazon Redshift expertise.
  • C1 English level or higher.
  • Advanced SQL and proven query tuning experience on large datasets.
  • Hands-on experience with Redshift Serverless, AWS S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.
  • Experience building ETL/ELT pipelines using Airflow, dbt, or similar tools.
  • Hands-on experience with Workload Management, Data Modeling, Data Warehousing.

Skills

  • Amazon Redshift
  • Redshift Serverless
  • SQL
  • Query Tuning
  • AWS S3
  • AWS Glue
  • AWS Lambda
  • AWS IAM
  • Redshift Spectrum
  • ETL/ELT
  • Airflow
  • AWS
  • ETL
  • dbt
  • Workload Management
  • Data Modeling
  • Data Warehousing

Key Responsibilities

  • Review the current Redshift environment and identify performance, cost, reliability, and design issues.
  • Design and tune tables, including distribution keys, sort keys, compression, and Workload Management configuration.
  • Build and maintain ETL/ELT pipelines into Redshift using the AWS data stack and appropriate orchestration tools.
  • Optimize slow queries and reduce provisioned or Serverless Redshift costs.
  • Develop data models that support analytics and BI use cases.
  • Document best practices, technical findings, and implemented changes.

Nice to Have

  • dbt
  • Python
  • PostHog
  • Segment
  • Product Analytics
  • Fintech
  • Regulated Industries

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Amazon RedshiftSQLAirflow

Requirements

We are looking for a senior-level data engineer who brings both hands-on Redshift depth and strong ownership. You should be comfortable working across Redshift provisioned or Serverless environments and implementing improvements end-to-end—from data modeling to pipeline orchestration and workload tuning.

  • Experience: 5+ years in data engineering with deep, hands-on Amazon Redshift expertise.
  • SQL: Advanced SQL and proven query tuning experience on large datasets.
  • AWS ecosystem: Hands-on experience with Amazon Redshift Serverless, Amazon S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.
  • ETL/ELT & orchestration: Experience building ETL/ELT pipelines using Apache Airflow, dbt, or similar tooling.
  • Warehouse practices: Practical experience with Workload Management, data modeling, and data warehousing.
  • Communication: C1 English level or higher.

We value ownership and clarity. You should be able to independently investigate issues, propose solutions, and communicate trade-offs to stakeholders. We also value structured documentation, strong engineering judgment, and a reliability mindset—designing changes that improve performance and resilience without creating operational risk.

Bonus: Experience in fintech or other regulated data environments is valuable, especially when designing for governance, traceability, and consistent data quality.

Key Responsibilities

We will need a Senior Data Engineer with deep Amazon Redshift expertise to take ownership of the performance and reliability roadmap for the data warehouse. You will assess the current Redshift landscape, diagnose bottlenecks, and implement optimizations that directly improve query latency, system stability, and cost efficiency.

  • Review the current Redshift environment and identify issues related to performance, cost, reliability, and data model design.
  • Design and tune warehouse structures, including distribution keys, sort keys, compression strategy, and Workload Management (WLM) configuration.
  • Build and maintain robust ETL/ELT pipelines loading data into Redshift using the AWS data stack and appropriate orchestration (e.g., Airflow).
  • Optimize slow queries and continuously reduce provisioned or Serverless Redshift costs without sacrificing reliability.
  • Develop and evolve data models that support analytics and BI use cases, ensuring query-friendly structures and consistent semantics.
  • Document technical decisions, findings, and implemented changes so the team can reuse patterns and maintain long-term maintainability.

We will expect you to operate independently with stakeholders, translating business and analytics needs into practical technical improvements with measurable outcomes within a short-term engagement.

Nice to Have

  • Experience improving Redshift concurrency and workload isolation beyond basic tuning (e.g., advanced WLM strategies).
  • Track record of reducing warehouse costs through architecture and query improvements while maintaining SLAs.
  • Experience working with regulated datasets (fintech, payments, or similar), including strong data handling and documentation habits.
  • Proficiency with additional AWS analytics services that complement Redshift pipelines (e.g., streaming/real-time patterns) and strong CI/CD practices for analytics code.

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

We will also provide strong administrative support infrastructure so you can focus on delivering exceptional results.

DatabricksPythonSQL

Required qualifications

  • Experience with Databricks Asset Bundles (DAB).
  • Experience using Azure DevOps.
  • Knowledge of incremental processing and schema evolution.
  • Healthcare or Insurance industry experience.
  • Experience with cloud-based data platforms.

Key responsibilities

  • Develop and maintain data pipelines using Databricks.
  • Support the design and optimization of Delta Lake tables.
  • Work with Unity Catalog to support data governance and access management.
  • Participate in CI/CD processes using Azure DevOps and Databricks Asset Bundles (DAB).
  • Implement incremental data processing and support schema evolution requirements.
  • Collaborate with team members to troubleshoot data quality and performance issues.
  • Assist with data modeling activities and platform optimization efforts.
  • Document solutions and follow engineering best practices.
  • Ideally 5 YOE

Nice to have

  • Azure Databricks certifications.
  • Exposure to Medallion Architecture.
  • Data quality and monitoring framework

Conditions

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
SSISTSQLMySQL

Requirements

We want someone who enjoys building dependable data pipelines and can handle migration complexity end-to-end.

  • Hands-on SSIS package development (data flows, error handling, and deployment).
  • Strong T-SQL experience with a practical, DBA-inspired mindset (query correctness, data integrity, and reliability).
  • Proven experience moving data between different database platforms, including data type conversion work from MySQL to MS SQL.
  • Experience implementing staging and crosswalk loads, including parent/child ID remapping patterns.
  • Ability to build packages that support restartable reruns after failures.
  • Track record validating migrations with row-count reconciliation, checksums, and exception handling (not just checking logs).
  • Comfort working with legacy systems and transforming messy or inconsistent source data into reliable target schemas.

Responsibilities


We are looking for an engineer who will deliver hands-on SQL Server Integration Services (SSIS) packages for data migration and transformation. Our focus is on robust, production-grade ETL—especially the details that make migrations safe and restartable.

  • Develop SSIS packages with data flows, solid error handling, and reliable deployment practices.
  • Build SSIS solutions that go beyond “ETL in general” by implementing proven patterns for operational reliability (clear failure modes, logs, and recoverability).
  • Use strong T-SQL skills to support extraction, transformation, validation, and performance-aware data operations (DBA-like thinking, without requiring full administrative ownership).
  • Move and transform data across database platforms, with special attention to data type conversion and edge cases when migrating from MySQL to MS SQL.
  • Implement staging and crosswalk loads, including scenarios where parent records receive new IDs during the load and child records must be mapped to those new IDs.
  • Design packages with reruns so a failed load can be restarted cleanly and deterministically.
  • Validate migrations using row counts, checksums, and exception tables—ensuring we do not ship migrations that only “ran.”
  • Collaborate with our team to interpret legacy data quirks, translate business rules into transformations, and ensure consistent delivery standards.

Nice to have


  • Experience with Biml or generating SSIS packages from metadata.
  • Any legacy system migration work, especially where multiple data domains and mapping rules are involved.
  • Familiarity with automation around validations (e.g., repeatable reconciliation workflows).
  • Experience modernizing migration approaches over time (standardizing patterns, improving rerun strategies, reducing manual effort).

Benefits


  • Long-term contract.
  • 100% Remote.
  • Vacations and PTOs.
  • Possibility of receiving 2 bonuses per year.
  • Two salary reviews per year.
  • English classes.
  • Apple equipment.
  • Online course platform.
  • Budget to buy books.
  • Budget for work materials.
  • Much more..
PythonBig DataHadoop

Requirements:

  • 8+ years of experience as a Data Engineer.
  • Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
  • Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
  • Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and Flat file sources.
  • Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift
  • Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
  • Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
  • Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
  • Effective oral and written English communication skills with BI team and user community.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
  • Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
  • Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
  • Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
  • Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
  • Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
  • Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
  • Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Pluses:

  • Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
  • Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
  • Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.

We offer:

  • Remote work opportunity!
  • B2B Employment ($, gross).
  • Stable job with long-term growth perspective with talented people around.
  • Really good hardware.
  • Great learning and growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.
JavaETLSQL

Skills Excluyentes

  • Experiencia excluyente trabajando con Java.
  • Experiencia comprobable en procesos de Extracción, Transformación y Carga de datos (ETL).
  • Sólidos conocimientos como usuario de bases de datos, abarcando SQL, procedimientos almacenados y triggers.
  • Experiencia en procesos de manejo de datos, incluyendo tanto procesamiento en lotes como procesamientos distribuidos.
  • Inglés técnico/básico: Capacidad para leer documentación, entender requerimientos y redactar mensajes sencillos.

Funciones del cargo

El Semi Senior Developer se integrará al equipo para realizar la automatización, transformación y limpieza de datos provenientes de diversas fuentes, tales como Excel, XML y CSV. Su día a día incluirá la carga y revisión de estos archivos en la nube utilizando GCP. Además, trabajará activamente con pipelines de datos que alimentan entornos de Big Data a través de scripts.

Skills Deseables

  • Conocimientos en Python.
  • Diseño, creación y manejo de ETL On Prem (Pentaho, Control-M, Nifi) o Cloud (Airflow, Cloud Composer, Glue, Lambda).
  • Conocimientos en tecnologías como Spark y DataProc / DataFlow.
  • Conocimientos sobre ambientes de datos, calidad, modelado de procesos y flujos de datos.
  • Nociones básicas de estadísticas, machine learning y deep learning.

¿Qué ofrecemos?

  • Rango salarial: $2.000.000 - $2.200.000 CLP.
  • Modalidad: Remoto.
  • Horario: Lunes a Jueves de 8:30 a 18:30 hrs y Viernes de 8:30 a 17:30 hrs.
  • Contrato: Proyecto inicial de 6 meses con posible extensión.

Beneficios

  • Seguro complementario: Seguro de salud, vida y dental, para que estés protegido.
  • Curso de inglés: En nuestro programa de formación en el idioma, ofrecemos dos modalidades para adaptarnos a tus necesidades y objetivos, con profesores nativos.
  • Reembolso de certificaciones internacionales: Apoyamos el crecimiento profesional, por lo que te reembolsamos el costo de un examen de certificación internacional que quieras realizar.
  • Bono de vacaciones: Recibe una compensación económica por cada semana de vacaciones que tomes.
  • Aguinaldos en fiestas patrias y Navidad: Un bono en septiembre y en diciembre, para que la pases bien con tu familia.
  • Día libre de cumpleaños: Puedes tomarlo el día previo, el mismo día, o el posterior a tu cumpleaños.
  • Mejora tu espacio de trabajo: Te reembolsamos parte del costo de equipar tu home office para que trabajes cómodo y a gusto.
  • Betterfly: App de bienestar que premia tus hábitos saludables con telemedicina, psicología y nutrición, sin costo.

Job Title:Data Analysts — RemoteLocation:Remote — worldwide; US business hoursSalary Range:USD 1,500–2,000 per monthWork Schedule:US business hoursContractor Note:NOTE: INDEPENDENT CONTRACTOR POSITIONCompany Overview:Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. Sagan provides a high-performance remote work environment, ensuring access to world-class opportunities for top-tier professionals.About the Role:Sagan connects experienced data analysts with US-based businesses. Your experience will be matched to relevant client opportunities, with specific responsibilities confirmed during the selection process.Position Overview:Turn business data into reliable reports and clear findings, with careful validation and documented assumptions.You do not need to cover every specialty. Tell us which responsibilities you have owned and where you are strongest.Key Responsibilities:• Collect and validate data from the agreed sources.• Prepare analyses and reports using spreadsheets, SQL or the tools required for your track.• Investigate inconsistencies and document definitions and assumptions.• Explain findings and maintain repeatable reporting workflows.Qualifications:• 2+ years of relevant professional experience.• Clear written and spoken English and careful attention to detail.• Practical experience with spreadsheets, SQL, data validation, reporting and visualization tools.• Examples of work you have personally handled in your selected specialty.• Availability for US business hours and an independent contractor engagement.Nice-to-Haves:Experience supporting US-based clients or teams and familiarity with the industry you would support. These are preferences, not requirements for every opportunity.Resume Submission Guidelines:Please submit your resume in English as a text-based PDF. Highlight your responsibilities, tools and relevant experience.How to Apply:Complete the Sagan application form linked with this posting.

Amazon RedshiftAmazon AthenaLake Formation

Perfil y habilidades

  • Experiencia mínima de 2 años como Data Engineer, preferentemente en entornos Big Data y nube AWS.
  • Conocimientos en AWS: Glue, Lambda, Step Functions, Redshift, Lake Formation, SQL, Athena y gestión de políticas IAM.
  • Experiencia con bases de datos y arquitecturas de clústeres; capacidad para optimizar rendimiento y costos.
  • Fuerte capacidad de resolución de problemas, pensamiento analítico y orientación a resultados.
  • Buen comunicador, capaz de trabajar en equipos ágiles y adaptar soluciones a requerimientos de negocio.
  • Idiomas: español; se valoran habilidades en inglés técnico.

Funciones principales

  • Diseñar, construir y mantener pipelines de datos en entornos AWS (Glue, Lambda, Step Functions, Redshift, Athena, Lake Formation).
  • Gestionar arquitectura de datos y clústeres, asegurando rendimiento, escalabilidad y seguridad de la información.
  • Implementar políticas IAM y controles de acceso, garantizando cumplimiento y buenas prácticas de seguridad.
  • Colaborar con científicos de datos y equipos de negocio para transformar requerimientos en soluciones técnicas eficientes.
  • Participar en la mejora continua de procesos, automatización y monitoreo de flujos de datos.

Requisitos Deseables

  • Certificaciones AWS (por ejemplo, AWS Data Analytics, AWS Solutions Architect).
  • Experiencia en orquestación de datos y herramientas de orquestación adicional (por ejemplo, Step Functions, Airflow).
  • Conocimientos en seguridad de datos, cumplimiento normativo y buenas prácticas de DevOps/DataOps.
  • Experiencia en proyectos de migración de datos, tratamiento de datos sensibles y observabilidad de pipelines.

Beneficios y entorno

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
La modalidad híbrida que ofrecemos, ubicada en Las Condes, permite combinar la flexibilidad del trabajo remoto con la colaboración presencial, facilitando un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
Data ManagementBig Data ArchitectureSQL

Experiencia y conocimientos técnicos

Buscamos un(a) Ingeniero de Datos Especialista con experiencia comprobable en el ciclo de vida de soluciones de datos, desde el diseño y la ingeniería hasta la validación y mejora continua.
  • Experiencia: mínimo 4 años en el área de datos o especialidad relacionada.
  • Gestión de datos: experiencia en gestión de bases de datos y procesamiento de datos.
  • Arquitecturas Big Data: conocimiento en arquitecturas de Big Data / clusters.
  • Lenguajes y SQL: manejo de lenguajes de programación y SQL.
  • AWS: experiencia con Glue, Lambda, Step Functions, Redshift, Lake Formation, Athena y manejo de políticas IAM.
  • Reporting/analytics: manejo de herramientas de reportería y análisis de datos.
  • Visualización: experiencia en creación de dashboards e indicadores con Power BI.

⚙️ Funciones principales

En este rol, nosotros nos enfocamos en asegurar que los datos estén disponibles, sean accesibles y aporten valor a los equipos de negocio y analítica.
  • Diseñar y disponibilizar datos de forma accesible para usuarios, con foco en entornos Big Data.
  • Desarrollar soluciones basadas en infraestructura de datos para aplicaciones analíticas.
  • Analizar y proponer mejoras continuas en procesos, sistemas y tecnologías.
  • Ejecutar pruebas (testing) para detectar alertas y aplicar correctivos.
  • Participar en levantamientos considerando aspectos de negocio, organización, tecnología e infraestructura.

Beneficios

En BC Tecnología promovemos un ambiente colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional mediante la integración y el intercambio de conocimientos entre equipos. Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional. El trabajo se realiza en modalidad remota, con contrato por proyecto con continuidad.
Data EngineeringAWS S3ETL

Requisitos

Pedimos formación y experiencia alineadas al trabajo en entornos cloud y al procesamiento de datos para analítica y reporting:
  • Título en Ingeniería Informática, Ciencias de la Computación o carrera afín.
  • Experiencia en integración y procesamiento de datos en entornos cloud.
  • Conocimientos en modelado de datos y arquitecturas cloud.
  • Experiencia trabajando con AWS S3 y pipelines de datos.
También buscamos afinidad con la ingeniería de datos orientada a negocio, con foco en calidad, trazabilidad y buenas prácticas.
Buscamos profesionales con orientación analítica, foco en calidad de datos, capacidad de trabajo colaborativo y experiencia en construcción de soluciones escalables de datos en la nube.

Principales responsabilidades

Buscamos un/a Data Engineer para diseñar, construir y mantener pipelines de ingesta, transformación y almacenamiento de datos contables en un Datalake sobre AWS S3, asegurando la trazabilidad, calidad y disponibilidad de la información para la generación automatizada de Notas de EEFF Consolidado.
  • Diseñar la arquitectura de datos en AWS S3 bajo modelo Bronze, Silver y Gold.
  • Construir pipelines ETL/ELT desde SAP y otros sistemas hacia el Datalake.
  • Transformar y modelar datos contables según reglas de negocio.
  • Garantizar calidad, linaje y trazabilidad de los datos.
  • Trabajar colaborativamente con equipos funcionales SAP para la correcta extracción de información.
  • Optimizar consultas y costos de almacenamiento en AWS S3.
  • Documentar pipelines, modelos de datos y procesos técnicos.

Deseable

  • Conocimientos en formatos de almacenamiento Parquet, Delta Lake e Iceberg.
  • Experiencia o nociones en contabilidad y datos financieros.
Se valora la curiosidad técnica para mejorar rendimiento, gobernanza del dato y consistencia de los modelos contables a lo largo del ciclo Bronze/Silver/Gold.

Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
AthenaRedshiftETL

Buscamos un perfil que:

En BC Tecnología buscamos un/a Ingeniero/a de Datos con experiencia en integración, modelamiento y visualización de datos, que pueda diseñar soluciones de datos end-to-end en entornos AWS. El objetivo es participar tanto en la construcción de procesos ETL como en el desarrollo de dashboards estratégicos, trabajando con grandes volúmenes de información y arquitecturas Data Lake.

  • Tiene experiencia en diseño y construcción de procesos ETL.
  • Puede modelar y estructurar capas de datos.
  • Desarrolla dashboards y soluciones BI.
  • Tiene experiencia trabajando con grandes volúmenes de datos en AWS.
  • Es autónomo, analítico y orientado a resultados.

Stack excluyente: AWS, S3 (Buckets), AWS Glue, Athena, Redshift, Data Lake, ETL, FTP, Power BI.

Conocimientos adicionales valorados: Node.js, AWS Lambda, JavaScript y frameworks relacionados; procesamiento de datos y automatización de flujos.

¿Qué harás?

  • Diseñar y modelar capas de datos para soluciones analíticas.
  • Construir y mantener procesos ETL y pipelines de datos.
  • Integrar información desde distintas fuentes, incluyendo FTP y servicios de AWS.
  • Desarrollar dashboards e indicadores en Power BI.
  • Trabajar con arquitecturas de Data Lake y procesamiento de datos en la nube.
  • Implementar soluciones utilizando servicios de AWS orientados a analítica y datos.

Modalidad: proyecto inicialmente estimado en 4 meses. Ubicación: LATAM. Contrato por proyecto.


Conocimientos adicionales valorados


  • Node.js.
  • AWS Lambda.
  • JavaScript y frameworks relacionados.
  • Procesamiento de datos y automatización de flujos.

Valoramos perfiles que complementen el trabajo en pipelines y modelamiento con automatizaciones y buen criterio para orquestar flujos de datos, asegurando calidad, trazabilidad y performance en entornos cloud.


Beneficios


En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

Data ScienceSQLPython

Qualifications and requirements

  • +4 años de experiencia en Data Science, Product Analytics, Customer Analytics o roles similares.
  • Sólidos conocimientos de SQL.
  • Experiencia avanzada utilizando Python para análisis y modelado de datos.
  • Experiencia trabajando con grandes volúmenes de datos y múltiples fuentes de información.
  • Conocimiento práctico en modelos predictivos como clasificación y regresión.
  • Entendimiento de conceptos de feature engineering.
  • Conocimientos sólidos en:
  • Cohort analysis
  • Retention / churn analysis
  • Técnicas de segmentación
  • Behavioral analytics
  • Capacidad para comunicar insights a equipos técnicos y de negocio. Inglés intermedio o avanzado.

Job functions

Buscamos un/a Product Data Scientist para impulsar estrategias de engagement, retención y renovación de miembros mediante analítica avanzada, modelos predictivos e insights accionables. Es un proyecto inicial de 3 meses con posibilidades de extension.

La posición combina análisis de datos, machine learning y entendimiento de negocio para identificar patrones de comportamiento, señales de riesgo de renovación y oportunidades de engagement a lo largo del ciclo de vida de los miembros.

La persona ideal disfruta resolver problemas de negocio complejos, trabajar con grandes volúmenes de datos y transformar información en iniciativas de alto impacto, cumpliendo para ello con las siguientes funciones:

  • Analizar comportamientos de engagement y retención de miembros utilizando múltiples fuentes de datos.
  • Construir modelos predictivos para identificar probabilidad de renovación, churn y patrones de comportamiento.
  • Realizar análisis de cohortes, lifecycle analysis y segmentación de usuarios.
  • Diseñar y mejorar metodologías de scoring de engagement y métricas de comportamiento.
  • Explorar oportunidades de recomendaciones personalizadas (“next best action”) para miembros.
  • Trabajar junto a equipos de negocio y stakeholders para definir KPIs e iniciativas basadas en datos.
  • Analizar datos estructurados y no estructurados, incluyendo transcripts e interacciones.
  • Participar en la creación de dashboards, reporting e insights operacionales.
  • Detectar tendencias, anomalías y oportunidades de mejora a partir de grandes datasets.
  • Contribuir al desarrollo de una visión integral.

Conditions


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
Data EngineeringData ScienceMachine Learning

Qualifications and requirements

  • Experiencia sólida en Data Engineering, Data Analysis y Data Science.
  • Muy buen manejo de Python, con fundamentos fuertes en manipulación de datos, manejo de archivos y procesamiento de información, no solo uso de librerías.
  • Experiencia con SQL sólido: joins, filtros, operadores lógicos, queries complejas y análisis de datos desde bases relacionales.
  • Capacidad para analizar y entender datos crudos, incompletos o desordenados antes de comenzar a desarrollar.
  • Experiencia construyendo pipelines de datos ETL/ELT para limpieza, transformación y preparación de datasets.
  • Experiencia trabajando con datos para llevarlos desde raw data hasta datasets listos para análisis, modelos o reporting.
  • Experiencia hands-on construyendo y desplegando modelos de Machine Learning.
  • Experiencia hands-on trabajando con Large Language Models.
  • Experiencia con Jupyter notebooks.
  • Experiencia con Azure SQL o Snowflake.
  • Experiencia trabajando con Microsoft Azure.
  • Experiencia con Azure Data Factory, Databricks o herramientas similares de cloud data stack.
  • Conocimientos de visualización de datos para comunicar información compleja de manera clara.
  • Experiencia con herramientas de desarrollo asistidas por IA, como Claude, Cursor o similares.
  • Conocimiento de arquitectura cloud y/o microservicios.
  • Nivel de inglés B2+ o superior, necesario para comunicarse con equipos y stakeholders en inglés.

Job functions

En Improving South America buscamos personas con perfil híbrido entre Data Science, Machine Learning y Data Engineering, con fuerte capacidad para analizar datos crudos, construir pipelines, preparar datasets confiables y desarrollar soluciones basadas en datos para problemas complejos de negocio.

La posición requiere una persona hands-on, con buen criterio técnico, autonomía y capacidad para trabajar de punta a punta: desde entender datos desordenados o incompletos, limpiarlos y transformarlos, hasta preparar información lista para análisis, modelos de Machine Learning, reporting o soluciones basadas en LLMs.

  • Analizar, limpiar y transformar datos crudos o desordenados para convertirlos en datasets confiables y listos para análisis.
  • Construir y mantener pipelines de datos ETL/ELT para ingesta, procesamiento y preparación de información.
  • Desarrollar soluciones data-driven que puedan alimentar casos de uso de Machine Learning, reporting o LLMs.
  • Construir, entrenar y desplegar modelos de Machine Learning y soluciones basadas en LLMs.
  • Colaborar con equipos técnicos y de negocio para entender requerimientos, clarificar ambigüedades y entregar soluciones de calidad.

Conditions


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
ETLSQL ServerAzure Databricks

Requisitos

Buscamos personas con experiencia comprobable en Ingeniería de Datos, ETL e integración, con habilidades técnicas sólidas y una forma de trabajo ordenada, proactiva y colaborativa.
Excluyentes
  • 3 años de experiencia en cargos relacionados con Ingeniería de Datos, ETL o integración de datos.
  • Experiencia desarrollando procesos ETL.
  • Manejo de SQL Server.
  • Conocimientos en C, C# o Java.
  • Manejo de Azure Databricks (nivel funcional, básico o intermedio).
  • Disponibilidad para trabajar en horario de Chile (08:30 a 18:00 hrs.).
Formación
  • Técnico o Profesional en Informática, Ingeniería o carrera afín.
  • También se considerarán candidatos con especialización o cursos en plataformas Microsoft Azure.
Buscamos
  • Responsabilidad y compromiso para cumplir plazos y mantener calidad en producción.
  • Capacidad analítica para entender el problema, validar datos y detectar inconsistencias.
  • Pensamiento lógico y resolución de problemas ante incidentes o necesidades de mejora.
  • Adaptabilidad y aprendizaje continuo para evolucionar con el ecosistema de datos.
  • Organización y buena gestión del tiempo para coordinar tareas y prioridades.
Valoramos además habilidades blandas como comunicación efectiva, trabajo en equipo y actitud de colaboración con stakeholders técnicos y del negocio para asegurar que los entregables de datos respondan a necesidades reales.

¿Qué harás?

En BC Tecnología buscamos que seas un aporte clave en la cadena de valor de datos. Tu foco estará en construir y operar pipelines confiables, asegurando que los datos estén listos para analítica y decisiones de negocio.
  • Desarrollar y mantener procesos ETL para la integración de datos, asegurando estabilidad, performance y calidad.
  • Manipular y analizar grandes volúmenes de información utilizando SQL y otras herramientas para transformar datos con criterios de negocio.
  • Integrar datos provenientes de distintas fuentes hacia el Data Warehouse, estandarizando estructuras, formatos y reglas de carga.
  • Apoyar la generación de reportería e insights para las áreas de negocio, colaborando con requerimientos analíticos y validaciones de resultados.
  • Participar en iniciativas de mejora continua de procesos de datos, proponiendo optimizaciones, automatización y buenas prácticas.
Trabajarás con mentalidad de producto y orientación al cliente, coordinando entregables con el equipo y promoviendo documentación y trazabilidad de cambios en los componentes de datos.

Muy valorado

  • Python ⭐
  • PySpark ⭐
  • Azure Data Factory
  • Azure Data Lake Storage
  • Power BI y/o Tableau
  • Conocimientos generales de servicios de datos en Microsoft Azure
Estos conocimientos aportan velocidad para construir y consumir pipelines, además de mejorar la entrega de información analítica a las áreas usuarias.

Seguros Complementario de Salud
Aguinaldo de Fiestas Patrias y Navida

PythonBig DataData lake

Requisitos

Formación Académica
Título profesional de al menos 4 años de duración en:
  • Ingeniería Civil (cualquier especialidad).
  • Ingeniería en Ejecución (cualquier especialidad).
  • O carreras afines al área tecnológica.
Experiencia
Mínimo 4 años de experiencia en funciones relacionadas con ingeniería de datos, Big Data o plataformas de procesamiento de datos.
Conocimientos técnicos
Experiencia en Python. Manejo de bases de datos relacionales y NoSQL. Experiencia en arquitecturas Big Data y procesamiento de datos. Desarrollo de procesos de ingesta y transformación de datos hacia Data Lake.
Experiencia utilizando servicios de AWS, tales como:
  • Amazon S3
  • AWS Lambda
  • AWS Glue
  • AWS Step Functions
  • Amazon DocumentDB
  • Otros servicios relacionados
  • Control de versiones mediante Git, CodeCommit o GitLab. Conocimientos en arquitecturas de clústeres y procesamiento distribuido de datos.

Principales responsabilidades

Diseñar, desarrollar y mantener soluciones de datos sobre plataformas Big Data. Construir procesos de ingesta, transformación y control de datos hacia un Data Lake. Desarrollar e implementar soluciones utilizando Python y servicios de AWS. Evaluar, analizar y proponer mejoras continuas en procesos, sistemas y tecnologías. Participar en el levantamiento y análisis funcional y técnico de requerimientos. Realizar pruebas funcionales y técnicas para asegurar la calidad de las soluciones implementadas. Aplicar estándares de seguridad, metodologías y controles que garanticen la integridad y disponibilidad de la información. Participar en reuniones de coordinación con equipos técnicos y áreas usuarias, realizando seguimiento e informes de avance. Documentar procesos, desarrollos y soluciones implementadas.
PythonSQLETL

Requerimientos del cargo

  • Inglés Intermedio- avanzado o avanzado (indispensable)
  • Python sólido: fundamentos reales de manipulación de datos y manejo de archivos, no solo uso de librerías.
  • Experiencia práctica con Pandas (o librería equivalente) para leer archivos, hacer joins, agregaciones, filtrado y deduplicación de datos.
  • SQL sólido: joins, filtros, operadores lógicos (NOT, AND, OR, etc.).
  • Capacidad de parsear y trabajar con distintos formatos de datos crudos (CSV, JSON anidado, logs de texto).
  • Experiencia construyendo pipelines ETL/ELT para limpieza y preparación de datos.
  • Experiencia hands-on con Azure (ADF, Databricks) o un stack cloud equivalente (AWS, GCP).
  • Comprensión de arquitectura cloud y microservicios para desplegar modelos/algoritmos como servicios web.
  • Capacidad de análisis: entender los datos antes de programar, y explicar un plan de solución antes de ejecutar.

Funciones del cargo

  • Desarrollar e implementar soluciones basadas en datos para resolver problemas de negocio complejos.
  • Limpiar, preprocesar y analizar datasets crudos o desordenados antes de escribir código.
  • Diseñar, construir y desplegar pipelines de datos (ETL/ELT) para ingesta y preparación de datos, cubriendo el flujo completo: raw data → transformación → datasets listos para analytics.
  • Construir y desplegar modelos de Machine Learning (se valora experiencia con algoritmos de optimización).
  • Desarrollar e integrar soluciones que aprovechen Large Language Models (LLMs).
  • Aplicar conceptos de arquitectura cloud y microservicios para desplegar algoritmos como servicios web.
  • Colaborar con equipos multifuncionales para definir requerimientos de proyecto, traducir problemas de negocio en soluciones técnicas y entregar insights accionables.
  • Tomar ownership total de las tareas asignadas: clarificar requerimientos ambiguos desde el inicio y entregar resultados de alta calidad.

Opcionales

  • Experiencia construyendo y desplegando modelos de Machine Learning en producción.
  • Conocimiento de algoritmos de optimización.
  • Experiencia integrando LLMs (LangChain, RAG, APIs de modelos como Azure OpenAI, Vertex AI, etc.).
  • C# — no excluyente. Priorizamos la capacidad de resolver problemas de datos de forma eficiente; un dominio fuerte de Python es buena señal de que la persona puede adaptarse a C# si el proyecto lo requiere.

Condiciones

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
PythonSQLBig Data

Requisitos

  • Mínimo 4 años de experiencia profesional.
  • Experiencia como Ingeniero/a de Datos / Big Data Engineer.
  • Dominio de Python y SQL avanzado.
  • Experiencia con Apache Spark / PySpark.
  • Experiencia en construcción de pipelines ETL/ELT.
  • Experiencia con arquitecturas Data Lake / Lakehouse.
  • Experiencia trabajando con AWS y/o Azure.
Tecnologías
AWS: S3, Glue, Athena, Redshift, Lambda, Step Functions, Kinesis/MSK, CloudWatch, IAM.
Azure: ADLS, Data Factory, Synapse Analytics, Databricks, Azure Functions, Event Hub, Azure Monitor.
Data Engineering: Spark, PySpark, Kafka, Kinesis, Event Hub, Parquet, JSON, Avro.
DataOps / DevOps: Git, CI/CD, Azure DevOps, GitHub Actions, Terraform, Docker y Kubernetes.
Gobierno de Datos: Data Catalog, Data Lineage, Data Quality, Glue Catalog y Microsoft Purview.

¿Cuál será tu desafío?

Participarás en el diseño y desarrollo de soluciones Big Data, construcción de pipelines ETL/ELT y evolución de arquitecturas Data Lake/Lakehouse, asegurando la disponibilidad, calidad, seguridad y gobierno de los datos.
Principales responsabilidades
  • Diseñar, desarrollar y mantener pipelines ETL/ELT.
  • Procesar grandes volúmenes de datos utilizando Apache Spark / PySpark.
  • Diseñar y mantener arquitecturas Data Lake / Lakehouse.
  • Realizar modelamiento y transformación de datos.
  • Participar en iniciativas de Gobierno, Calidad, Catálogo y Linaje de Datos.
  • Analizar y proponer mejoras a procesos, sistemas y tecnologías.
  • Realizar testing, troubleshooting y aplicación de correctivos.
  • Participar en iniciativas de DataOps/DevOps.
  • Trabajar con servicios Cloud de AWS y Azure.
PythonAWSBig Data

Requisitos

Experiencia trabajando con Big Data y grandes volúmenes de información.

  • Experiencia en programación con Python.
  • Experiencia con servicios AWS.
  • Conocimientos de Linux.
  • Experiencia trabajando con bases de datos SQL.
Tecnologías
  • AWS: EC2, S3, Glue, Lambda, Athena y Redshift.
  • Bases de datos: SQL, MySQL, Aurora, PostgreSQL y Presto.
  • Visualización: Power BI Pro y/o Amazon QuickSight.
  • Data: Big Data, exploración y análisis de grandes volúmenes de información y modelamiento de datos.

Principales responsabilidades


Además, participarás en el levantamiento y análisis funcional/técnico de requerimientos, mejora continua de procesos y sistemas, testing y aplicación de correctivos.
  • Diseñar e implementar soluciones para el procesamiento y análisis de grandes volúmenes de datos.
  • Desarrollar y mantener soluciones utilizando servicios AWS.
  • Trabajar en procesos de extracción, transformación y explotación de datos.
  • Realizar exploración, manipulación y análisis de información Big Data.
  • Participar en el modelamiento y diseño de datos.
  • Proporcionar información de manera accesible y adecuada para los usuarios.
  • Analizar requerimientos funcionales y técnicos.
  • Proponer mejoras a procesos, sistemas y tecnologías.
  • Realizar testing, diagnóstico y aplicación de correctivos.
  • Participar en iniciativas de continuidad operacional y mejora continua.
Data ModelingData ArchitectureMicrosoft Fabric

QUALIFICATIONS

  • 8+ years of total technical experience in data engineering, analytics, or enterprise data platforms, including 3+ years in a dedicated data architecture or technical lead role.
  • Strong understanding of modern data architecture patterns, including Lakehouse, data warehouse, dimensional modeling, and semantic modeling.
  • Experience with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric.
  • Working knowledge of Power BI architecture and data governance concepts, including metadata, lineage, security, and compliance.
  • Strong communication and stakeholder management skills, with the ability to translate business strategy into architecture roadmaps.
  • Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements.
  • Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.

KEY RESPONSIBILITIES

  • Define enterprise data architecture standards, reference architectures, and implementation patterns for Microsoft Fabric, Power BI, Purview, and Azure-based data platforms.
  • Lead the design of Fabric-first analytics architectures, including OneLake strategy, Lakehouse and Warehouse patterns, workspace structure, domains, capacity considerations, and data product design.
  • Establish Power BI architecture standards for semantic models, certified datasets, deployment pipelines, workspace governance, performance optimization, and self-service reporting.
  • Define Microsoft Purview governance models including data catalog standards, lineage, business glossary, classification, ownership, stewardship, metadata management, and information protection alignment practices.
  • Guide modernization from legacy databases, data warehouses, reporting platforms, and fragmented data stores into governed lakehouse and analytics ecosystems.
  • Design integration strategies across cloud, on-premises, SaaS, operational systems, APIs, data warehouses, and analytics platforms.
  • Define data security, access control, privacy, retention, quality, and compliance patterns aligned to client and regulatory requirements.
  • Partner with executive stakeholders, business leaders, delivery teams, and technical specialists to align data architecture with strategic outcomes.
  • Conduct architecture reviews, solution assessments, platform readiness evaluations, and roadmap planning sessions.
  • Translate complex Fabric architectures and data solutions into clear, business-friendly explanations for both technical and non-technical audiences.
  • Document data architectures, pipelines, and technical decisions.
  • Mentor data engineers, BI developers, analysts, and client teams on architecture standards and best practices.

PREFERRED SKILLS

  • Experience designing analytics platforms for enterprise reporting and self-service BI.
  • Deep expertise in Power BI semantic models, governance, performance, and deployment lifecycle.
  • Strong data governance skills: metadata, lineage, classification, security, and compliance.
  • Experience leading architecture workshops, technical discovery, and modernization planning.
  • Hands-on experience with Fabric architecture: OneLake, Lakehouse, Warehouse, Data Factory, workspaces, security, and capacity planning.
  • Experience leading Microsoft Purview adoption or a Power BI Center of Excellence, including catalog, lineage, glossary, or reporting operating models.
  • Experience with Azure Data Lake, Azure SQL, Data Factory, Synapse, Databricks, Delta Lake, or enterprise integration tools.
  • Experience supporting AI and Copilot readiness, responsible data usage, and analytics modernization.
  • Fabric, Power BI, Azure Solutions Architect, Azure Data Engineer, or governance certifications are a plus.

WHAT WE OFFER

  • Competitive salary.
  • Opportunity to lead Fabric, Power BI, Purview, and AI-readiness strategy for Integratz's enterprise data warehouse modernization program.
  • Ownership of a named, repeatable architecture method, applied end-to-end on this engagement rather than a one-off design task.
  • High-impact consulting role influencing modernization, analytics operating models, and executive data strategy.
  • Flexible, primarily remote work environment.
  • Collaborative, inclusive, multicultural team culture, with opportunities to mentor engineers and shape Integratz's data practice.
  • Growth path into principal architecture, data strategy, governance, or analytics advisory roles, with access to certifications and cutting-edge tools.
ETL/ELTDimensional ModelingMicrosoft Fabric

QUALIFICATIONS

  • 5+ years of experience in data engineering, analytics engineering, data platform development, or related technical roles.
  • Strong SQL and Python skills, with experience building analytical data models, transformation logic, and ETL/ELT pipelines for enterprise analytics and reporting use cases.
  • Experience working with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric.
  • Working knowledge of dimensional modeling, lakehouse patterns, and semantic modeling concepts.
  • Ability to work independently while collaborating effectively with distributed teams, with strong written and verbal communication skills.
  • Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements.
  • Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.

KEY RESPONSIBILITIES

  • Design, develop, and maintain Microsoft Fabric Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, and OneLake-based data assets.
  • Build scalable ingestion, transformation, cleansing, and validation pipelines for structured, semi-structured, and cloud-based data sources.
  • Implement medallion architecture patterns across Bronze, Silver, and Gold layers to support trusted enterprise analytics.
  • Develop Power BI-ready datasets and semantic models that support executive dashboards, operational reporting, and self-service analytics.
  • Partner with BI developers to optimize Direct Lake, Import, and composite model approaches based on usage, scale, performance, and governance needs.
  • Apply Microsoft Purview and Fabric governance practices, including metadata, lineage, and data quality controls, to improve data discoverability and compliance.
  • Optimize data workloads for performance, reliability, scalability, and cost-effective capacity utilization.
  • Support CI/CD, deployment pipelines, version control, documentation, monitoring, and production support for data solutions.
  • Translate technical data engineering concepts into clear explanations for business users and client stakeholders.
  • Collaborate with architects, analysts, data scientists, and business teams to deliver end-to-end data and analytics solutions.

PREFERRED SKILLS

  • Experience supporting Power BI datasets, semantic models, and reporting environments, with strong understanding of analytics solution design.
  • Strong understanding of data governance, data quality, privacy, access control, and metadata management concepts at an enterprise scale.
  • Hands-on experience with Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, and Direct Lake.
  • Experience with Microsoft Purview data catalog, lineage, classification, glossary, or governance workflows.
  • Experience with Power BI performance tuning, DAX, deployment pipelines, and workspace governance.
  • Experience with Azure Data Factory, Azure Data Lake, Azure SQL, Synapse, Databricks, or Delta Lake.
  • Experience implementing CI/CD, Git integration, automated testing, and deployment standards for data solutions.
  • Microsoft Fabric, Power BI, Azure, or Databricks certifications are a plus

WHAT WE OFFER

  • Competitive salary.
  • Opportunity to work on Integratz's enterprise data warehouse modernization program, applying modern Microsoft Fabric, Power BI, Purview, and Azure technology.
  • A proven delivery method, Integratz's medallion architecture build pattern, not a one-off, unstructured engagement.
  • Flexible, primarily remote work environment.
  • Collaborative, inclusive, and multicultural consulting environment with direct exposure to enterprise-scale data transformation.
  • Growth path into architecture, analytics engineering leadership, governance, or data platform strategy roles, with access to certifications and cutting-edge tools and technologies.
  • Supportive team culture focused on practical delivery, client value, and continuous improvement.
DatabricksDelta LakePython

Requerimientos indispensables

  • 7+ años de experiencia profesional como Data Engineer.
  • Inglés intermedio/avanzado para comunicación diaria con equipos globales. – Obligatorio.
  • Experiencia profesional trabajando con Databricks.
  • Experiencia sólida con Python y SQL.
  • Experiencia práctica con Delta Lake y Unity Catalog.
  • Conocimientos de data modelling.
  • Experiencia con Databricks Asset Bundles y/o Azure DevOps aplicada a procesos de CI/CD.
  • Experiencia con procesamiento incremental y schema evolution.

Responsabilidades del rol

Buscamos Data Engineer con experiencia sólida en Databricks para diseñar, optimizar y mantener soluciones de datos escalables, trabajando con Delta Lake, Unity Catalog, Python y SQL.

El rol tendrá foco en el diseño y modelado de datos, procesamiento incremental, evolución de esquemas, orquestación de pipelines y prácticas de CI/CD.

Lo que harás:

  • Diseñar y optimizar tablas utilizando Delta Lake.
  • Implementar y mantener modelos de datos eficientes y escalables.
  • Gestionar el gobierno y acceso a los datos mediante Unity Catalog.
  • Desarrollar y mantener pipelines de datos en Databricks.
  • Implementar procesos de procesamiento incremental y estrategias de evolución de esquemas.
  • Trabajar con Databricks Asset Bundles y Azure DevOps para CI/CD.
  • Participar en la automatización, optimización y mejora continua de los procesos de ingeniería de datos.

Plus relevante

Experiencia previa en proyectos de Healthcare o Insurance.

Beneficios que ofrecemos

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
Big DataDatabricksPython

Required skills & experience

We need someone with proven, hands-on software development experience and strong data engineering depth for Databricks-based delivery.
  • 5+ years of hands-on software development experience.
  • Strong expertise in Apache Spark, with a proven record of delivering on Databricks.
  • Proficient in Python with advanced data engineering skills using PySpark, Pandas, and related libraries.
  • Experience developing and maintaining unit tests for Databricks workloads.
  • Solid understanding of columnar storage (e.g., Parquet).
  • Hands-on experience with Delta Lake / Delta Tables.
  • Ability to handle small to large data volumes, including performance tuning and optimizations.
  • Demonstrated ability to build data ingestion, transformation, and analytics pipelines.
  • Strong analytical and problem-solving skills with close attention to detail.
  • Comfort working with Databricks workflows and delivering outcomes reliably.
How we work (traits we value):
  • Quality mindset: careful validation, correctness, and attention to details—especially important for Tax and Audit contexts.
  • Ownership: you take responsibility for pipeline stability, performance, and maintainability.
  • Communication: we expect clear collaboration with technical and non-technical stakeholders to align data outputs with business needs.
  • Continuous improvement: you actively look for ways to simplify pipelines, improve performance, and strengthen testing coverage.

Responsibilities

We are looking for Databricks Engineers to join our Tax and Audit group and strengthen the team’s delivery across the data lifecycle.
  • Build and maintain Apache Spark solutions delivered on Databricks, including scalable transformations and production-ready workloads.
  • Develop and optimize data ingestion, transformation, and analytics pipelines that handle small to large data volumes.
  • Use advanced Python and PySpark to implement efficient data engineering patterns (e.g., batch processing, enrichment, and data quality steps).
  • Apply strong understanding of columnar storage (e.g., Parquet) and deliver production data sets using Delta Lake / Delta Tables.
  • Write and maintain unit tests for Databricks workloads to improve reliability and reduce regressions.
  • Perform performance tuning and optimization (Spark execution efficiency, partitioning strategies, and query/read/write improvements).
  • Collaborate with stakeholders to clarify requirements, translate analytics needs into technical designs, and ensure outputs meet accuracy and timeliness expectations.
  • Own Databricks workflows end-to-end—from development through deployment and ongoing support.
  • Optionally contribute to Databricks DevOps practices (nice to have), improving CI/CD, environment management, and release processes.
Goals: deliver dependable data products for Tax and Audit workflows, improve pipeline performance and maintainability, and ensure high-quality results through testing and careful attention to detail.

Nice to have

  • Familiarity with Databricks DevOps practices (e.g., CI/CD concepts, environment/version management, and deployment workflows).
  • Experience contributing to data governance patterns such as dataset documentation, consistency checks, and maintainable conventions across teams.
  • Prior exposure to testing strategies beyond unit tests (e.g., integration tests for pipelines) to further improve reliability.

Benefits

  • Comprehensive medical, dental, vision, and life insurance
  • Mental health support
  • Savings Fund & Corporate Retirement Plan
  • Paid time off, vacation bonus, and Christmas bonus
  • Career development, certifications, and continuous learning
  • TotalPass wellness program
  • Collaborative culture with internal events and technical communities
  • Opportunity to work on innovative global projects with cutting-edge technologies
Data QualityAzure DatabricksData Engineering

Requerimientos del cargo

  • 3-5 años de experiencia en Data Engineering o Ingeniería de Software con manejo de grandes volúmenes de datos.
  • Experiencia trabajando con Azure Databricks.
  • Experiencia en procesos de extracción, transformación, carga e integración de datos.
  • Conocimientos de arquitectura de datos, infraestructura y computación en la nube, preferiblemente Azure.
  • Experiencia aplicando buenas prácticas de desarrollo e integración continua.

Funciones del cargo

Diseño y optimización de soluciones de datos: Diseñar, construir y optimizar soluciones de datos de extremo a extremo sobre Azure Databricks, asegurando rendimiento, confiabilidad, seguridad y eficiencia en costos.

Procesamiento de datos: Coordinar el funcionamiento de los diferentes entornos donde se ejecutan los procesos de procesamiento de datos, asegurando su correcta operación.

ETL e integración de datos: Extraer, transformar y cargar datos de acuerdo con las necesidades del negocio, desarrollando integraciones eficientes que permitan realizar la ingesta de la información requerida.

Integración continua: Generar flujos de integración continua que permitan validar de forma eficaz los desarrollos y procesos implementados.

Mentoría: Mentorizar a ingenieros junior, promoviendo buenas prácticas de desarrollo y soluciones escalables.

Mejora continua: Proponer e implementar mejoras tecnológicas que permitan optimizar los flujos y soluciones de datos.

Principales retos

  • Diseñar y mantener estructuras de datos eficientes, escalables e intuitivas.
  • Mantener buenas prácticas de código en el desarrollo de soluciones.
  • Procesar volúmenes de datos en crecimiento sin incrementar de forma descontrolada los costos en la nube.
  • Implementar mecanismos de data quality sin afectar la velocidad de procesamiento.

Deseables


  • Postgrado o especialización en Ingeniería de Datos, Big Data o Arquitectura Cloud.
  • Experiencia específica trabajando con servicios y arquitectura sobre Microsoft Azure.

Condiciones


  • Ambiente de trabajo colaborativo y dinámico.
  • Desarrollo profesional continuo y oportunidades de crecimiento.
  • Flexibilidad de horarios y equilibrio entre vida laboral y personal.
Google Cloud PlatformBigQueryAirflow

🔎 ¿Qué buscamos?

  • Formación en Ingeniería Civil Informática, Ingeniería Industrial, Computación o carrera afín.
  • 4+ años de experiencia como Data Engineer.
  • Al menos 2 años de experiencia trabajando con GCP y BigQuery.
  • Experiencia construyendo pipelines productivos con Airflow / Cloud Composer.
  • Experiencia trabajando con grandes volúmenes de datos.
  • Dominio de Git y flujos CI/CD.
  • Experiencia con Python y SQL avanzado.
  • Capacidad para trabajar de manera autónoma y tomar decisiones técnicas.
  • Rigurosidad y orientación a la calidad y completitud de los datos.
  • Capacidad de documentación y generación de conocimiento.
  • Comunicación clara con equipos técnicos y de negocio.
  • Criterio para optimizar costos y rendimiento en la nube.

¿Cuál será tu desafío?

Serás responsable de diseñar y construir soluciones de ingesta y procesamiento de datos confiables, automatizadas y escalables, asegurando la calidad, completitud y disponibilidad de la información.

Entre tus principales responsabilidades estarán:

  • Diseñar y construir pipelines de datos productivos.
  • Implementar procesos de ingesta y procesamiento utilizando servicios de Google Cloud Platform (GCP).
  • Trabajar con BigQuery y Cloud Storage para almacenamiento y procesamiento de datos.
  • Diseñar tablas eficientes considerando particionamiento, clustering, datos tardíos y zonas horarias.
  • Orquestar y monitorear pipelines mediante Cloud Composer / Airflow.
  • Implementar controles de completitud, volumetría y alertas ante comportamientos anómalos.
  • Trabajar con grandes volúmenes de información y optimizar procesos considerando rendimiento y costos en la nube.
  • Documentar pipelines, procedimientos operativos, runbooks y procesos de reproceso/backfill.
  • Trabajar colaborativamente con equipos de Data, IA y Data Science.
  • Participar en la definición y evolución de soluciones dentro de una plataforma de datos existente.

🛠️ Stack tecnológico

Google Cloud Platform:

  • BigQuery
  • Cloud Storage
  • Pub/Sub
  • Dataflow / Apache Beam
  • Cloud Run / Cloud Functions
  • Cloud Composer / Airflow
  • Workflows
  • IAM
  • Secret Manager
  • Cloud Logging & Monitoring
  • Terraform
  • Cloud Build / CI-CD

Lenguajes y herramientas:

  • Python
  • SQL avanzado
  • Git
  • APIs REST / Webhooks

Formatos y tecnologías de datos:

  • Parquet
  • JSON
  • CSV

⭐ Será un plus


  • Certificación Google Cloud Professional Data Engineer.
  • Experiencia en industrias como fintech, banca o servicios financieros.
  • Experiencia con herramientas de integración de eventos y APIs.

💻 Modalidad y condiciones


  • Trabajo: 100% remoto dentro de Chile
  • Jornada: Full time
  • Nivel: Senior
  • Duración inicial: 3 meses
JavaODBCJDBC

Qualifications and requirements

  • Experiencia porfunda en Java con experiencia demostrada en:

Debugging de memory leaks en aplicaciones Java

Resolución de problemas multi-threaded

Análisis y optimización de performance con profilers

  • Experiencia en desarrollo de drivers ODBC/JDBC

Desarrollo de conectores Power BI

Desarrollo de conectores Tableau

Conocimiento práctico de Apache Arrow

  • Inglés intermedio-avanzado o avanzado

Job functions

Buscamos un Senior Developer altamente técnico para unirse a nuestro equipo de Developer Experiences. Serás responsable de desarrollar, mantener y mejorar los drivers de conectividad y conectores para herramientas empresariales que permiten que millones de usuarios se conecten de forma segura y eficiente.

Este es un rol especializado que requiere expertise profundo en drivers de base de datos, conectividad multi-plataforma e integración con herramientas BI líderes del mercado cumpliendo con:

  • Desarrollo y mantenimiento de drivers de conectividad (ODBC/JDBC) con enfoque en performance y estabilidad
  • Construcción de conectores para herramientas BI empresariales (Power BI, Tableau y otras plataformas analíticas)
  • Creación y soporte de librerías cliente para múltiples lenguajes de programación
  • Implementación de integraciones de IA para mejorar la conectividad y experiencia de usuario
  • Mantenimiento y evolución de soluciones de conectividad a través de diversas plataformas y aplicaciones.

Desirable skills


  • C++ para desarrollo de componentes low-level
  • Diseño e implementación de REST APIs
  • Experiencia previa con integraciones de otras herramientas BI (Looker, Mode, etc.)

Conditions


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
data entryinfoseccustomer supportdev

Evio Overview

Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience) initiatives primarily focused on specialty and other high-cost medication solutions.

In 2020, a group of five amazing Blue Cross Blue Shield health plans that in total serve more than 20 million members recognized that the way medications get to patients needs significant reform—rapidly rising costs and massive system complexities are detrimental to patients and the entire industry. In 2025, Wellmark joined as Evio's first non-founding investor and sixth owner health plan. Each company made, and continues to make, significant investments to establish Evio as an independent entity to lead this transformation. 


Evio has advanced analytics and contracting capabilities at scale, and a suite of digital tools, to power our high-cost medication solutions. Our solutions act as a self-reinforcing “flywheel” where each element strengthens and feeds into the next, and support an “Only Evio can do that,” mindset and prioritization.

Evio is also a company that has invested heavily in and been highly intentional about people, team and culture. We believe we have created a very special place to work and encourage candidates to observe and ask us about our culture and decide for themselves.

Evio's Values

  • Empathy – The people our business serves always come first. We care for our teammates and put ourselves in the shoes of our health plan customers and the patients and clinicians our solutions benefit.
  • Diversity – We are committed to fostering a culture where everyone belongs and is valued for their background, experience and insights – one that encourages diversity of ideas, and is a nurturing, trusting, and accepting place for all.
  • Adventure – We are flexible, thrive in ambiguity, fail fast, and pivot quickly to get to a better answer. We celebrate wins and pivots with equal intensity.
  • Relentless – Guided by evidence and data, we are creative, curious, and unwavering in our pursuit of challenging the status quo and each other.
  • Transparency – Just as we seek to bring transparency to the pharmacy supply chain, authenticity and integrity are core to the way we communicate.
  • Excellence – We strive to raise the bar in all we do by hiring and developing exceptional talent and holding ourselves and our thinking to the highest standard.

About The Role

We are seeking an ambitious and dynamic Product Analyst to contribute to the ongoing success of Evio’s Digital Health team as we develop and deploy new digital solutions that help create better medication experiences and improve affordability for patients, providers, and our health plan clients.

This individual will work across Evio’s flagship products and new products as they are brought to market:

  • Evio Connect: Our direct to provider communication solution
  • Evio Insights: Our core real-world evidence solution and analytics dashboards
  • Evio Engage: Our value-based care administration service and platform
  • Evio Compass: Our financial risk identification platform that enables patient and health plan affordability

As a Product Analyst, you will help turn business needs, client feedback, product goals, and data insights into clear requirements, useful documentation, and well-managed workstreams. You will partner closely with teammates across Digital Health, analytics, operations, technology, and client-facing teams to support successful product delivery, adoption, and ongoing improvement.

What You’ll Do

Support product operations and enhancement

  • Optimize product processes, monitor performance, and identify opportunities for continuous improvement.
  • Partner with cross-functional teams to prioritize and implement enhancements that align with business goals, customer needs, successful product adoption, and ongoing optimization.
  • Use data, feedback, and product context to help inform recommendations and decisions

Provide product support

  • Support new and existing clients and by troubleshooting issues and ensuring timely resolution
  • Assist new product launches and activation activities such as user onboarding, enrollment, etc.
  • Ensure clients and internal teammates have the information and resources needed to use Evio products effectively

Manage projects and milestones

  • Independently organize, plan, and manage project milestones using project management tools and techniques in line with the size, scope, and complexity of the project.
  • Track progress, dependencies, risks, to keep work moving forward

Partner with stakeholders

  • Engage internal and external stakeholders early and often to promote alignment on organizational goals, next steps, and timelines.
  • Build working relationships grounded in mutual trust, transparency and shared accountability
  • Ensure stakeholder feedback is incorporated every step of the way.

Define Product Requirements

  • Define and document product requirements with an intense focus on alignment with business and customer needs.
  • Maintain and update requirements throughout the ideation, design, and build phases of the product lifecycle
  • Maintain excellent documentation
  • Create and maintain comprehensive product documentation inclusive of job aids, workflow documents, data specifications, and standard operating procedures.
  • Keep documentation current as products, processes, and needs change (we’re a start up, change is the norm!)

The skills and experience you bring to this role include:

  • 3-5 years of experience managing complex projects with internal and external stakeholders.
  • 3-5 years of experience in business analysis or product management, preferably in healthcare
  • Adept at creating clear process and product documentation and supporting analytics product development.
  • Knowledgeable in EHR, pharmacy, and PBM workflows that help patients access prescribed therapies, from benefit verification and prior authorization through dispensing and adherence support.
  • Familiar with pharmacy benefit management and EHR interoperability technologies, including clinical data exchange standards (e.g., NCPDP – eRx, ePA, and Formulary, HL7, FHIR, Direct Messaging); familiarity with transactions supporting medication access, adherence, and value-based care.
  • Bias for action, quick learner, and comfortable failing fast and pivoting
  • High degree of comfort with ambiguity around strategy, direction, team, roles and other elements that will change as the work evolves
  • Solid EQ conducive to collaborating with multiple parts of the business and functioning well with a variety of people
  • Data and research driven in your approach to decisions and recommendations.
  • Proficient in Excel, Word, PowerPoint, Jira, Confluence, and SharePoint.
  • Basic to intermediate SQL and relational database knowledge for querying, analyzing, and troubleshooting healthcare data.

It’s a Bonus If You Possess The Following

  • Start-up experience or prior experience taking a product from 0-1 in any setting.
  • Experience with pharmacy value-based care initiatives.

Compensation

Anticipated annual base pay range: $100,000 - $120,000 plus additional variable compensation.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission, and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire.

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations.

Evio Benefits

  • Great Health Insurance The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
  • 401K Match Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits.
  • Time Off We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
  • Parental Leave Generous paid leave for new parents (includes birth and non-birth parents).

Fraud Notice

We’ve Recently Learned Of Fraudulent Job Postings And Individuals Falsely Claiming To Represent Evio. Protecting Our Candidates Is Incredibly Important To Us, And We Want To Share a Few Reminders

  • All official communication will come from an email ending in @evio.com.
  • We will never conduct text-only interviews (Teams, SMS, WhatsApp, Telegram, etc.).
  • We will never ask for payment, gift cards, fees, or purchases of any kind.
  • We will never request sensitive financial information during the recruiting process.
  • Our open roles are posted only on our official website, LinkedIn, and Greenhouse job board.

If you believe you’ve encountered a scam, you can also report it to the Federal Trade Commission or the Internet Crime Complaint Center. Thank you for your care and vigilance — we’re grateful to everyone who helps keep our community safe.

Information Disclosure

We value transparency in our hiring process and want applicants to understand how your information is used.

We collect and use personal information you provide during the application process such as your resume, employment history, education, interview responses, and other job-related information, to evaluate your qualifications for employment. This may also include limited technical and interaction data, such as IP address and device or browser information.

We may use automated or AI-assisted tools to help review applications, identify qualified candidates, and detect or investigate potentially fraudulent or deceptive activity. Human reviewers remain involved, and these tools support, not replace, human judgment.

These measures support a fair and secure hiring process for all candidates. If you require a reasonable accommodation, please inform us when invited to interview.

California privacy notice
Consistent with California law, we use this information for recruiting, hiring, and related business purposes, including evaluating your candidacy and improving our hiring processes.

Please mention the word SOLID and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
data entryinfoseccustomer supportdev

A part-time college counselor works with students and families through the college search and admissions process. This person must have impeccable communication skills, be able to connect with both high school students and their parents and be incredibly knowledgeable about colleges and the admissions process. The Counselor will also support other college counselors and our essay coaches in their work with students.

The position reports to the Director of Admissions Counseling. Because we work mostly with high school students and their parents, we tend to work in the later afternoons, evenings, and weekends. There is some flexibility in the schedule, as long as it is coordinated with families and the team. The position will evolve over time as the ideal candidate will take our current practices and expand and enhance them.

Families may sign up to do hourly work with a counselor or may sign up for our comprehensive program, which does not count hours. A typical student starts work with a counselor in the early Junior year. A part-time counselor must commit to working with at least 5 "comprehensive" (or hourly equivalent) students in each graduating class.

College Counselor Responsibilities:

We are currently seeking hire an additional College Counselor in one of our offices or remotely to work with high school students and their families through the college admissions process. This position may be part-time or full-time, depending on the candidate’s preference.

Direct Services

  • Work with roughly 30 students (full-time) or 5+ students (part-time) in each graduating class through all aspects of the college admissions process;
  • Communicate with parents on a regular basis;
  • Make use of publicly available data to inform advice and expertise;

Professional Development

  • Regularly participate in professional development opportunities, including regional and national conferences, webinars, college tours, and more;
  • Keep current on current trends in college admissions;
  • Develop training and educational materials for self and others on the team

Building a Caseload (for Full-Time Counselors)

  • Write blogs and articles targeted at high school students and their parents;
  • Coordinate events to speak publicly about college admissions;
  • Develop relationships with local high school counselors and other educational experts

Qualifications

  • Bachelor’s degree required / advance degree preferred;
  • A minimum of three years of experience in admissions at a selective college or as an independent college counselor OR a minimum of five years of experience working as a counselor in a high school;
  • Exceptional writing skills;
  • Exceptional communication skills;
  • Attention to detail, with strong organizational skills;
  • Expertise in using web-based tools to advise students;
  • Ability to work evenings and weekends, as needed (determined by students’ schedule)

Compensation and Benefits

  • The full-time position is a salaried position ($70,000-$90,000 based on previous experience and education); the part-time position is compensated on an hourly basis ($60-90 per billable hour; all team members are also paid a prep-time rate for non-billable work)
  • Up to 5% match 401(k) (for eligible employees)
  • Health insurance stipend (for full-time employees)
  • Paid membership in professional organizations
  • Stipend for travel for college visits and conferences
  • 3 weeks PTO (for full-time employees)

Powered by JazzHR

zTGJT8xbS4

Please mention the word SAINT and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
data entryinfoseccustomer supportdev

Join the largest delivery-first restaurant group in the United States!

Who we are:

At Salted, we're leading the charge to build the next generation of the restaurant industry. We focus on making better-for-you cuisine accessible while offering clean-label, plant-driven, and most importantly – delicious food. Join us in shaping the future of the restaurant industry and be part of our innovative culinary journey!

Salary: $110,000 - $150,000

Benefits:

  • Unlimited PTO
  • Medical, Dental, & Vision Insurance
  • 401k with up to a 4% employer match after one year
  • Remote Work
  • Paid Parental Leave

The role:

This is not a traditional FP&A role. You’ll sit at the intersection of finance and operations, using real-time data from our kitchens and markets to understand what’s happening on the ground and translate that into clear, actionable insights that drive the business forward.

You’ll own core reporting and forecasting, and you’ll help shape how we use data to make decisions. That includes identifying inefficiencies, improving performance, and partnering directly with operators to solve real problems in a fast-moving environment.

Your Impact:

  • Own core reporting across locations and districts, and continuously improve and automate it so the team can focus on insights, not manual work
  • Build and maintain a rolling forecast grounded in real operational inputs, and lead reforecasts with clear variance drivers and forward-looking scenarios
  • Translate what’s happening in our kitchens and markets into clear financial insights, connecting day-to-day operations to P&L performance
  • Identify inefficiencies and cost drivers through data, and partner cross-functionally, especially with operations, to implement solutions
  • Support budgeting cycles with thoughtful analysis and actionable commentary that helps shape decisions
  • Partner with external platforms and internal teams to generate actionable insights into the customer experience and help inform marketing decisions
  • Help evolve how we use data as a company by improving tools, processes, and how insights are shared across teams

Skills & Experience:

  • 2 to 4 years of experience in finance, consulting, strategy, or similar analytical roles
  • Strong Excel or Google Sheets skills, with experience working with large datasets; SQL is a plus
  • Highly analytical with the ability to break down complex problems and identify key drivers
  • Comfortable working in a fast-paced, ambiguous environment with evolving priorities
  • Strong communicator who can translate data into clear insights for non-finance partners
  • Demonstrated ownership and initiative, with an ability to learn quickly and take on new challenges
  • Interest in operating roles and using data to drive real-world outcomes, not just reporting
  • Degree in finance, math, engineering, or a related field

Responsibilities and tasks outlined in this document are not exhaustive and may change as determined by the needs of the company.

Salted is an equal-opportunity employer committed to building an inclusive team. If you require accommodation during the application or interview process, please contact hr@hellosalted.com.

Powered by JazzHR

sYfTmV4sYy

Please mention the word GUMPTION and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
data entryvideopart timenon tech

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible remote research opportunities that help shape products, services, and user experiences.

Role Overview

We’re inviting individuals from all backgrounds, including those searching for data entry clerk roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely.

This is a casual, project-based role well suited for individuals looking to participate part-time in research based on availability and profile match.

Requirements

  • A smartphone, tablet, or computer with a working camera
  • A stable internet connection
  • Ability to follow written instructions and share thoughtful opinions
  • A valid email address to receive study invitations

Benefits

  • Flexible participation - opt in only when studies match your profile
  • Research formats vary and may include focus groups (remote online or in-person), video interviews, product evaluations, or digital feedback sessions
  • No prior data entry clerk experience required - just a willingness to participate
  • Some studies may offer early access to unreleased products or services
  • Compensation is offered for many studies, depending on type

If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, remote opportunities, we welcome you to register your interest online today.

Important Notice – No Fees Required

We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

Please mention the word BENEFICIAL and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
data entryinfoseccustomer supportdev

Adoreal is a fast-growing vertical SaaS company that leverages innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability in elective medicine. Our team thrives on challenges, embraces change, and is dedicated to transforming our industry.

Our Marketing Team supports leading practices' growth through brand, website/SEO, paid media, and social media. Video is central to how our practices win attention and book consultations, and we are scaling our content output across a portfolio of practices.

We are hiring a full-time video editor to own short-form video production across our practice portfolio. You will take raw surgeon footage, before-and-after assets, and treatment b-roll and turn it into scroll-stopping Reels, TikToks, and YouTube Shorts at real volume. You will use a modern, AI-assisted workflow to move fast without making the work look generic. This role is a fit for someone who is genuinely quick, treats AI tools as part of their daily process, and has an eye for what makes people stop scrolling.

While we are a remote-first company, we are currently only able to hire candidates located in the following U.S. states: CA, CO, FL, GA, IL, OK, OR, PA, RI, TX, UT, and WA. We hope to expand to additional states in the future.

What You Will Do

  • Edit 10+ publish-ready short-form videos per week across multiple practice brands
  • Build strong hooks, clean captions, sharp pacing, and sound design that hold attention and drive bookings
  • Edit before-and-after content with care for tasteful framing, patient consent, and platform compliance, so the work performs and survives Meta and TikTok review
  • Stay on-brand across distinct practice style systems, including fonts, color, and tone of voice
  • Repurpose long-form footage such as consults, webinars, and podcasts into packs of short clips
  • Use AI tools to compress turnaround time while keeping output original and high quality
  • Collaborate async with our social, content, and design teams, taking a brief and revision notes without heavy oversight

Requirements

  • A short-form portfolio that proves your hooks, pacing, and captioning
  • Genuine speed. You can speak to your weekly output, not just one hero video
  • Daily, fluent use of AI video tools as part of a real workflow, not as a novelty
  • Strong written and spoken English and the ability to overlap US working hours at times
  • Self-direction. You work from a brief and a brand kit, flag issues early, and hit deadlines

Bonus points

  • Experience editing aesthetics, plastic surgery, medical, beauty, or wellness content
  • A background editing for multiple brands or inside an agency, where staying on-style across accounts matters
  • Motion graphics skills in After Effects for surgeon explainers, lower-thirds, and treatment animations
  • Color grading skill, with attention to natural, flattering skin tones
  • Strong instinct for current TikTok and Reels formats, trends, and audio

How To Apply

Send us:

  • A link to your short-form reel or portfolio, with vertical 9 by 16 examples
  • A short note on how many publish-ready short-form videos you typically ship in a week, working solo
  • A few lines on your current tool stack, including AI tools, how you utilize each, and where each tool saves you time
  • Whether you have edited aesthetics, medical, or beauty content, and if so, how you handled sensitive or before-and-after footage

Benefits

At Adoreal, we believe in supporting our team's well-being and growth through comprehensive benefits and a collaborative, people-first culture. As a globally remote company, we prioritize flexibility, inclusivity, and teamwork rooted in the Adoreal principles.

Benefits & Perks:

  • Healthcare coverage for you and your family
  • Paid time off (PTO) and paid holidays
  • Performance-based bonuses and company equity opportunities
  • Fully remote work environment with flexible schedules
  • Collaborative and thriving team culture guided by Adoreal's core values

Why Adoreal?

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles:

  • We do what is best for the company, not what is best for individuals of the company—we take pride in our work, but not in pride itself—the success of Adoreal is more important than our egos.
  • We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded.
  • We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders.
  • We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders.
  • We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence.
  • We do not bow up and knock down—we care about our teammates and treat all of them with respect, regardless of their level within the company.
  • We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day.

At this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying.



Adoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds.

Accommodations for disabilities are available upon request throughout the recruitment process.

We are not working with search firms for this role, thank you

Please mention the word POSITIVE and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
data entryinfoseccustomer supportdev

Posted 11:20:49 PM. SummaryLocation: RemoteTravel: up to 30%.About KardionKardion is a medical device company advancing…See this and similar jobs on LinkedIn.

Please mention the word DIVINE and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

data scienceeducationgame devwriter

Australian English Voice Actor

Apply here: Application Form Link

We are seeking talented Australian English Voice Actors to perform scripted content for commercial, educational, entertainment, and AI-driven projects. The ideal candidate has strong vocal versatility and can deliver authentic, engaging performances.

Responsibilities

  • Perform voice acting roles in Australian English.
  • Deliver recordings with appropriate emotion, tone, and character.
  • Interpret scripts and creative direction effectively.
  • Participate in revisions and retakes as needed.
  • Maintain audio quality standards and project timelines.


Requirements

  • Native Australian English speaker.
  • Strong acting and vocal performance skills.
  • Excellent pronunciation and diction.
  • Ability to take direction and adapt performance style.
  • Access to a suitable recording environment.


Nice to Have

  • Professional voice-over, acting, or broadcasting experience.
  • Experience in gaming, animation, commercials, or audiobooks.
  • Knowledge of audio editing and recording software.


Apply here: Application Form Link

Please mention the word SOUNDLY and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Sobre trabajos remotos en Data Science

Empleos remotos para científicos de datos, analistas y especialistas en machine learning. Las mejores oportunidades en LATAM. En RemoteJobs.lat conectamos a profesionales de Latinoamérica con empresas que ofrecen trabajo 100% remoto. Actualizamos nuestras ofertas mensualmente para traerte las mejores oportunidades.

Rango salarial

$3,500 - $9,000 USD/mes

Demanda

Muy Alta

Posiciones abiertas

64

Explorá otras categorías

Alertas de ofertas (próximamente)

Elegí las categorías y tecnologías que te interesan y te avisamos cuando las alertas estén listas.

  • Solo te escribimos cuando lancemos las alertas.

Categorías

Separalas con comas. Las alertas van a usar estos términos.

📬 ¿Buscás trabajo remoto? Dejanos tu email y te avisamos cuando lancemos las alertas de ofertas.