Qa Engineer (Python / Sdet)

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 DoOwn 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 solutionsExample WorkValidate that 100K+ rows from a label ingestion pipeline are correctly mapped and...