Job Description
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.
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 proac...
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