Data QA Analyst — Reconciliation & Validation Automation

Blend is a premier AI services provider committed to co‑creating meaningful impact for its clients through data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by aligning human expertise with artificial intelligence to unlock value and foster innovation.

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 audi...