Description
Blend is hiring a QA Data Engineer to validate, reconcile, and prepare data pipelines for production in a high-impact enterprise initiative. The role focuses on data accuracy, identity resolution, profiling, reconciliation, automated regression testing, and documentation across up to 18 domains, while collaborating with Data Engineering and Analytics teams. Candidates need at least three years of experience in data quality, QA, or data analysis, along with SQL, Python, data quality frameworks, and test automation experience. The position is hybrid and offers learning, mentoring, travel, and flexible working options.
