QA Engineer (Python / SDET)
Tritone Analytics, Inc
.png){kind=logo}
Salary:
Gross salary
$2100 - 3350
Type:
Full time
Tags: Python SQL ETL CI/CD
Tritone Analytics is building a forensic royalty auditing platform for the music industry. We ingest messy, real-world financial data from labels, distributors, and publishers—and turn it into clean, structured systems that power analysis and AI workflows.
We’re looking for a junior-to-mid level QA Engineer to own testing across our core data systems.
This is not a traditional QA role. You’ll be working with data pipelines, not just UI flows.
This job is available on Get on Board.
What You’ll Do
- Own quality across a Python-based royalty data pipeline (CSV/XLSX → normalized data)
- Write and maintain tests across: unit, integration, and E2E (Playwright)
- data validation (row counts, column mappings, financial logic)
- Expand E2E coverage for our Gradio dashboard (upload → process → export)
- Validate transformations using SQL (DuckDB)
- Improve and maintain CI/CD pipelines (GitHub Actions)
- Identify gaps in test coverage and proactively build solutions
Example Work
- Validate that 100K+ rows from a label ingestion pipeline are correctly mapped and normalized
- Build tests to ensure financial calculations remain consistent across multiple data sources
- Expand end-to-end coverage so ingestion changes don’t break downstream outputs
What We’re Looking For
Must-Have:
- 1–2 years of experience with Python (pytest)
- Comfortable writing SQL queries to validate data
- Strong attention to detail—especially with structured data
- Ability to work independently in a small team
Strongly Preferred:
- Experience with Playwright or browser automation (Selenium is fine)
- Exposure to CI/CD tools (GitHub Actions, Jenkins, etc.)
- Interest in data pipelines, ETL, or backend systems
Tech Stack:
- Python 3.12+, pytest
- DuckDB (data processing)
- Gradio (UI)
- GitHub Actions (CI/CD)
- 3,000+ existing tests across 100+ files
Nice to Have
Nice to Have:
- pandas, DuckDB, or data validation tools (pandera, great_expectations)
- Experience with financial, analytics, or music-related data
- Performance testing or parallelization (pytest-xdist)
Conditions
Source: GetOnBoard | Main Category: Other