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Senior Data Quality Engineer
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-06-14
Listing for:
Jobs via Dice
Full Time
position Listed on 2026-06-14
Job specializations:
-
Software Development
AI QA / Validation Engineer, SQL Developer
Job Description & How to Apply Below
Senior Data Quality Engineer
We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated data testing frameworks. This role focuses on building scalable data quality and validation frameworks for modern data pipelines in a Databricks environment.
Key Responsibilities- Build and maintain automated testing frameworks for data pipelines
- Validate data ingestion, transformations, and data quality across multiple sources
- Implement data quality tools such as Great Expectations, dbt tests, or similar
- Integrate testing into CI/CD pipelines
- Collaborate with engineering teams to improve data reliability and observability
- 5+ years of experience in Data Quality Engineering, Data Engineering, or related field
- Strong hands‑on experience with Python and SQL
- Experience with automated testing frameworks and pipeline validation
- Familiarity with Databricks, data transformation workflows, and CI/CD tools
- Strong problem‑solving and communication skills
- Experience with PySpark, Delta Lake, Kafka, or Azure cloud technologies
- Exposure to AI‑assisted development tools and data observability practices
Position Requirements
10+ Years
work experience
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