Hybrid QA Data Engineer: Data Quality & Pipeline Validation
Summary
Builds and runs automated tests to validate data pipelines and ensure accuracy for enterprise data initiatives, collaborating with data engineering and analytics teams.
Blend is seeking a QA Data Engineer to support validation, reconciliation, and production readiness of data pipelines for a high-impact enterprise initiative. This hybrid role blends analytical rigor with hands-on data quality testing and validation frameworks.
You will collaborate with Data Engineering and Analytics teams to ensure data accuracy and reliability, building automated test suites and frameworks that promote production-ready data assets across multiple domains.