$$$ Full time
Senior IT Recruiter — Latam
  • Crest IT Resources LLC
English Remote Work Spanish Applicant Tracking System
About us
Crest IT Resources is a US-based IT staffing and talent placement firm. We help US companies hire skilled software engineers, data professionals, and IT specialists across the Americas. We're building our Latam sourcing operation and looking for an experienced recruiter on the ground in Mexico to lead it.

Exclusive to Get on Board.

The role

You'll own end-to-end sourcing and recruiting for IT positions across Latin America — primarily software engineers, DevOps, data engineers, QA, and cloud roles. Your candidates will be placed with US client companies on remote contracts, paid in USD.
Day to day, you'll:
  • Source IT talent across Mexico, Colombia, Argentina, Brazil, and other Latam markets using LinkedIn Recruiter, Get on Board, GitHub, OCC Mundial, and other platforms
  • Run Boolean searches in English, Spanish, and (ideally) Portuguese
  • Conduct first-round screens covering experience, English level, and time zone fit
  • Manage candidates through the pipeline: screen → technical assessment → client interview → offer
  • Build relationships with engineers in Latam tech communities (Discord, Slack, meetups)
  • Partner with our US team on requisitions, intake calls, and offer negotiation
  • Track funnel metrics and report weekly on pipeline health

Who you are

  • 3+ years of tech recruiting experience, ideally sourcing software engineers
  • Fluent English (B2 minimum, C1 preferred) — you'll be on daily calls with US hiring managers
  • Native or fully fluent Spanish; Portuguese a strong plus
  • Hands-on experience with LinkedIn Recruiter, Boolean search, and at least one ATS (Greenhouse, Lever, Workable, Bullhorn, etc.)
  • Comfortable working independently in a remote, async environment
  • Based in Mexico (CDMX, Guadalajara, Monterrey, or anywhere with reliable internet)

Nice to have

  • Experience recruiting for US companies or nearshore staffing firms
  • Knowledge of the Latam tech salary landscape across multiple countries
  • Existing network in Mexican or Latam engineering communities

Gross salary $4000 - 6000 Full time
Python C# Docker CI/CD

Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.

We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.

This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.

Apply at the original job on getonbrd.com.

What you’ll own

  • Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
  • AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
  • Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
  • Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
  • Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.

What success looks like in year one

  • Shipping 2–3 features per sprint while maintaining code quality.
  • Continuous deployment implemented within your first month.
  • At least one improvement to the team’s AI-assisted workflow per week.
  • Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
  • Zero unplanned downtime from deployment issues within 6 months.
  • Your teammates are measurably faster because of the tooling and patterns you’ve introduced.

What we’re looking for

Core requirements

  • 4+ years fullstack development experience with Angular + Python or C# backends.
  • Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
  • Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
  • Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
  • Strong written English — this is a remote, async-heavy role with a US-based team.
  • Comfort working in a fast-paced startup where priorities shift and ownership is expected.

Nice to have

  • Github Actions experience is a big plus
  • Experience owning deployment pipelines end-to-end in a startup environment.
  • Terraform or Pulumi for infrastructure-as-code.
  • Kubernetes or Cloud Run experience on GCP.
  • Background in B2B SaaS or data-intensive platforms.
  • Experience with PostgreSQL and data-heavy applications.
  • Familiarity with the Python data tooling ecosystem (even if not a data engineer).
  • Contributions to open source or public examples of AI-augmented development work.

Compensation and benefits

We pay competitively for the LATAM market and we’re transparent about it.

  • Time off: Manage your own schedule. We trust you.
  • Health: $150/month health and wellness stipend.
  • Engagement: B2B contract. 30-day mutual notice.

How we work

  • Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
  • Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
  • Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
  • Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Health coverage Vequity pays or copays health insurance for employees.
Computer provided Vequity provides a computer for your work.
Gross salary $800 - 950 Full time
Analista de Datos (Encuestas y Estudios)
  • Opinando Online
  • Santiago &nbsp Lima (Hybrid)
Python MySQL Data Analysis Excel
Somos una empresa de campo digital para la Investigación de Mercados, que por medio de una Comunidad o Panel, realizamos encuestas online para nuestros clientes. Tenemos presencia en Chile, Perú, Argentina, Colombia, Ecuador y México.
Somos una empresa en constante crecimiento a nivel regional y prestamos servicios en la industria de la investigación de mercados.

This job is original from Get on Board.

Analista de Datos (Encuestas y Estudios)

Buscamos un/a Analista de Datos para trabajar con información proveniente de encuestas, apoyando en su procesamiento, análisis y gestión.
El rol combina trabajo con datos (principalmente) y operación de encuestas, asegurando calidad, consistencia y generación de reportes útiles para los proyectos.
  • Procesar, limpiar y transformar datos de encuestas
  • Gestionar bases de datos y asegurar su calidad
  • Generar reportes y análisis descriptivos
  • Apoyar en la configuración de encuestas
  • Monitorear recolección de datos
  • Automatizar procesos de datos cuando sea posible

Requerimientos del cargo

Experiencia utilizando Python para procesamiento y análisis de datos (pandas u otras librerías similares). Conocimiento de SQL (MySQL u otros motores relacionales) para consultas, joins y manipulación de datos.
Manejo de Excel avanzado, incluyendo tablas dinámicas, manejo de grandes volúmenes de información y funciones de análisis.
Experiencia previa trabajando con datos: limpieza, transformación, validación y estructuración de bases de datos. Capacidad para entender estructuras de datos provenientes de encuestas o formularios.

Opcionales

  • Experiencia trabajando con plataformas de encuestas como LimeSurvey u otras herramientas similares.
  • Conocimiento en automatización de procesos de datos (scripts en Python, ETL, tareas programadas, etc.).
  • Experiencia en análisis estadístico básico aplicado a encuestas (frecuencias, cruces, segmentaciones).
  • Manejo de herramientas de visualización de datos (ej: dashboards, gráficos en Excel u otras herramientas).
  • Experiencia trabajando con grandes volúmenes de datos.
  • Conocimiento básico de JavaScript para personalización de encuestas o formularios.
  • Experiencia en gestión o envío de campañas de email.

Condiciones

Desarrollo profesional que se traduce en capacitaciones, certificaciones y ascensos dentro de la organización. Incrementos de renta vinculados a la Evaluación de desempeño y grato ambiente de trabajo.

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Partially remote You can work from your home some days a week.
Bicycle parking You can park your bicycle for free inside the premises.
Computer provided Opinando Online provides a computer for your work.
$$$ Full time
Tech Recruiter (Colombia)
  • Crest IT Resources LLC
English Remote Work Spanish Applicant Tracking System

Crest IT Resources is a US-based IT staffing and talent placement firm. We help US companies hire skilled software engineers, data professionals, and IT specialists across the Americas. We're expanding our Latam sourcing operation and looking for an experienced recruiter on the ground in Colombia to lead it.

This job offer is on Get on Board.

IT Recruiter — Latam Sourcing | Remote | USD Salary

You'll own end-to-end sourcing and recruiting for IT positions across Latin America — primarily software engineers, DevOps, data engineers, QA, and cloud roles. Your candidates will be placed with US client companies on remote contracts, paid in USD.

Day to day, you'll:

  • Source IT talent across Colombia, Mexico, Argentina, Brazil, and other Latam markets using LinkedIn Recruiter, Get on Board, GitHub, and local platforms
  • Run Boolean searches in English, Spanish, and (ideally) Portuguese
  • Conduct first-round screens covering experience, English level, and timezone fit
  • Manage candidates through the pipeline: screen → technical assessment → client interview → offer
  • Build relationships with engineers in Latam tech communities (Discord, Slack, meetups)
  • Partner with our US team on requisitions, intake calls, and offer negotiation
  • Track funnel metrics and report weekly on pipeline health

Who you are

  • 3+ years of tech recruiting experience, ideally sourcing software engineers
  • Fluent English (B2 minimum, C1 preferred) — you'll be on daily calls with US hiring managers
  • Native or fully fluent Spanish; Portuguese a strong plus
  • Hands-on experience with LinkedIn Recruiter, Boolean search, and at least one ATS (Greenhouse, Lever, Workable, Bullhorn, etc.)
  • Comfortable working independently in a remote, async environment
  • Based in Colombia (Medellín, Bogotá, or anywhere with reliable internet)

Nice to have

  • Experience recruiting for US companies or nearshore staffing firms
  • Knowledge of the Latam tech salary landscape across multiple countries
  • Existing network in Latam engineering communities

Hiring model

Hiring model: independent contractor
 Working hours: core overlap with US Eastern Time (roughly 9am–2pm EST)

Gross salary $4000 - 6000 Full time
Python C# Docker CI/CD

Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.

We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.

This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.

This company only accepts applications on Get on Board.

What you’ll own

  • Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
  • AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
  • Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
  • Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
  • Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.

What success looks like in year one

  • Shipping 2–3 features per sprint while maintaining code quality.
  • Continuous deployment implemented within your first month.
  • At least one improvement to the team’s AI-assisted workflow per week.
  • Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
  • Zero unplanned downtime from deployment issues within 6 months.
  • Your teammates are measurably faster because of the tooling and patterns you’ve introduced.

What we’re looking for

Core requirements

  • 4+ years fullstack development experience with Angular + Python or C# backends.
  • Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
  • Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
  • Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
  • Strong written English — this is a remote, async-heavy role with a US-based team.
  • Comfort working in a fast-paced startup where priorities shift and ownership is expected.

Nice to have

  • Github Actions experience is a big plus
  • Experience owning deployment pipelines end-to-end in a startup environment.
  • Terraform or Pulumi for infrastructure-as-code.
  • Kubernetes or Cloud Run experience on GCP.
  • Background in B2B SaaS or data-intensive platforms.
  • Experience with PostgreSQL and data-heavy applications.
  • Familiarity with the Python data tooling ecosystem (even if not a data engineer).
  • Contributions to open source or public examples of AI-augmented development work.

Compensation and benefits

We pay competitively for the LATAM market and we’re transparent about it.

  • Time off: Manage your own schedule. We trust you.
  • Health: $150/month health and wellness stipend.
  • Engagement: B2B contract. 30-day mutual notice.

How we work

  • Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
  • Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
  • Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
  • Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Health coverage Vequity pays or copays health insurance for employees.
Computer provided Vequity provides a computer for your work.

🇦🇷 Trabajos remotos de Data Engineering desde Argentina: panorama 2026

El mercado de trabajos remotos de Data Engineering para profesionales en Argentina creció de manera sostenida desde 2020 y hoy es una de las vías más concretas para cobrar en USD desde Buenos Aires, Córdoba o cualquier ciudad del país. El rango salarial típico está en $4,000 - $11,000 USD/mes, varias veces por encima del salario equivalente en el mercado local. Empresas como Mercado Libre, Globant, Auth0, Nubank contratan regularmente perfiles de Data Engineering desde Argentina, ya sea bajo modalidad contractor o empleado a través de plataformas como Deel o Remote.com. El stack que más se demanda combina Data Engineering con Python, Sql, Spark. Desde el lado operativo, los métodos más usados para cobrar son Wise, Deel, Payoneer, y la zona horaria de Argentina (GMT-3) ofrece un overlap natural con la costa este de Estados Unidos y horarios europeos de mañana, lo que la convierte en una de las regiones más atractivas para empresas USA y EU que quieren contratar talento nearshore. Para profesionales que recién arrancan en remoto, lo más rentable suele ser empezar con agencias como Toptal o Crossover (filtros técnicos exigentes pero contratos estables) y después migrar a un rol full-time en una empresa producto. Esta página actualiza diariamente las ofertas activas de Data Engineering disponibles para Argentina, filtradas para que solo veas roles 100% remotos compatibles con tu ubicación.

Salario

$4,000 - $11,000 USD/mes

Zona horaria

GMT-3

Posiciones

5

Pago

USD (cobro internacional)

Argentina es un hub tecnologico reconocido en LATAM, con una comunidad activa de profesionales en Data Engineering.

Cuánto cobra un Data Engineering remoto en Argentina según seniority

Rangos estimados en USD/mes. En Argentina estos montos suelen ser 2x a 4x un salario local equivalente, dependiendo del régimen fiscal.

Nivel Experiencia Rango USD/mes
Junior 0-2 años $4,000 - $5,750
Semi-Senior 2-4 años $5,400 - $7,850
Senior 4-7 años $7,500 - $9,950
Lead/Staff 7+ años $9,250 - $11,000

Cómo cobrar como Data Engineering desde Argentina

Métodos de cobro más usados

  • Wise
  • Deel
  • Payoneer
  • Cripto (USDT/USDC)

Régimen fiscal

La mayoría usa Monotributo (categorías hasta H, ~USD 67k anuales) o se inscribe como Responsable Inscripto. Servicios al exterior están exentos de IVA.

Empresas que contratan Data Engineering remoto desde Argentina

Mercado Libre Globant Auth0 Nubank Cloudwalk Stripe GitLab Crossover Toptal

Preguntas frecuentes sobre Data Engineering remoto en Argentina

Los profesionales de Data Engineering en Argentina que trabajan para empresas internacionales cobran $4,000 - $11,000 USD/mes. Cobrando en USD, el ingreso suele ser 2x a 4x un salario local equivalente en el mercado tradicional.

Los métodos más usados son Wise, Deel, Payoneer. La mayoría combina dos para reducir comisiones: por ejemplo Wise para clientes USA y Deel cuando la empresa firma contrato de empleado.

La mayoría usa Monotributo (categorías hasta H, ~USD 67k anuales) o se inscribe como Responsable Inscripto. Servicios al exterior están exentos de IVA.

Algunas que históricamente contratan ese perfil desde Argentina: Mercado Libre, Globant, Auth0, Nubank. Más allá de estas, cualquier empresa con política remote-friendly puede contratar desde acá si tu inglés y tu portfolio están a nivel.

Argentina está en zona GMT-3, lo que da overlap natural de 4 a 6 horas con la costa este de USA y de 2 a 4 horas con UK. Para empresas asiáticas o australianas el overlap es mínimo, conviene buscar roles "async-first".