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 proactively build solutions
Example Work
Validate th...