Data Engineer

Summary

Design, build, and maintain Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines. Collaborate with stakeholders and cross-functional teams to integrate data outputs into downstream applications, troubleshoot pipeline issues, and document architecture and processes.