What You'll Do:
- Design and build automated systems that identify data quality issues, product bugs, and regressions across our web application and data pipelines — reducing reliance on manual discovery.
- Write scripts and tooling to detect anomalies, inconsistencies, or failures in large datasets (e.g. malformed records, missing relationships, unexpected distributions).
- Work with product to prioritize identified issues based on business impact, and write or contribute code fixes directly — not just file tickets.
Who You Are:
- 3+ years of engineering experience with a focus on quality, data integrity, or test automation.
- Strong Python skills — comfortable writing production-quality scripts, automation, and data analysis code.
- Experience working with large datasets: querying, profiling, validating, and debugging data in SQL and NoSQL databases (Postgres/Elasticsearch preferred).
Benefits:
- Meaningful equity.
- Full Medical, dental, and vision coverage (for you and your family). ALL premiums covered!
- 401k w/ full match up to state limit.
- Work from anywhere.
- Flexible vacation policy. You manage your own time.
Trellis
Trellis is the largest legal research platform for state trial courts, aggregating and structuring trial court filings and rulings with AI-powered analysis. They are a growing, remote-friendly company committed to diversity and inclusion.