DataQAAnalyst

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com) We are seeking a Data QA Analyst to contribute to our next level of growth and expansion. What is this position about? * Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains. * Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps. * Execute structured acceptance testing for each pipeline prior to promotion to production environments. * Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives. * Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance. * Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve. ## Qualifications * Expert-level SQL skills, with demonstrated ability to write complex queries for data validation, profiling, and reconciliation at scale. * Experience with data quality frameworks, with preference given to candidates with hands-on Great Expectations expertise. * Proficiency in Python for scripting automated tests, data profiling tasks, and quality checks. * Strong background in data profili