Data Quality Analyst

Senior Data Quality Engineer | Chicago, IL | 100k-150k | 3 days onsiteAutomated data testing is the core part of the role. If you have strong experience there, apply now!What’s in it for youBuild the data quality practice from the ground upOwn automated testing for a modern Databricks-based data platformHigh‑visibility role with real influence on platform reliabilityHands‑on engineering role with modern tools and real ownershipCompetitive compensation and long‑term growth opportunityWork for an elite global law firm with over $3Billion in annual revenue, which has been in the US for over 150 yearsThe RoleFully hands-on role, no people management involvedAs a Senior Data Quality Engineer, you will design and implement automated testing frameworks that ensure data reliability across ingestion and transformation pipelines.This is a hands‑on engineering role focused on automation, not manual QA.You will work closely with Data Engineers to validate data as it moves through Bronze, Silver, and Gold layers and embed testing into CI/CD workflows.This role is critical to improving trust, consistency, and scalability across the firm’s data platform.Must‑HavesExperience building automated data testing frameworks5+ years of experience in data qualityStrong Python and SQL skills (both required)Hands‑on experience with at least one data quality tool:Great Expectations / dbt tests / Databricks DQXBachelor’s degree in Computer Science, Engineering, Data Science, or related fieldsClick Below to Apply!