Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

Build and maintain production data pipelines and models to support analytics, ML, and research. Ensure data quality and availability, operate and monitor the data platform, investigate failures, optimize performance and costs, and collaborate with Product, Engineering, and Research teams.