Databricks QA Engineer
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Job Summary
Owning the quality gate for enterprise data platforms, the remote Databricks QA Engineer will validate Lakehouse pipelines, build automated test suites in Python and PySpark, and ensure data integrity in production environments on a contract basis.
Key responsibilities
- Own test strategy and release sign-off on engagements, including documented test plans covering scope, risk, and coverage
- Build and maintain automated test suites in Python and PySpark (pytest), integrated into CI pipelines
- Validate data pipelines end to end, including ingestion, Medallion layer transformations, Delta Lake tables, and ELT workflows
Required qualifications
- 5+ years in QA automation or test engineering, with significant experience testing data pipelines
- A data engineering background with the ability to read pipelines and write SQL for verification
- Expert-level SQL proficiency
- Experience with Medallion architecture, Delta Lake, and ELT-based data platforms
- Demonstrable hands-on experience working on Databricks or similar platforms
Complete Job Description
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