Data Quality Analyst
Indexed description
Senior Data Quality Engineer | Chicago, IL | 100k-150k | 3 days onsite
Automated data testing is the core part of the role. If you have strong experience there, apply now!
What’s in it for you
- Build the data quality practice from the ground up
- Own automated testing for a modern Databricks-based data platform
- High‑visibility role with real influence on platform reliability
- Hands‑on engineering role with modern tools and real ownership
- Competitive compensation and long‑term growth opportunity
- Work for an elite global law firm with over $3Billion in annual revenue, which has been in the US for over 150 years
The Role
- Fully hands-on role, no people management involved
- As 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‑Haves
- Experience building automated data testing frameworks
- 5+ years of experience in data quality
- Strong Python and SQL skills (both required)
- Hands‑on experience with at least one data quality tool:
- Great Expectations / dbt tests / Databricks DQX
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields
Click Below to Apply!
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search