• Design, build, and maintain production Python data pipelines, working daily with Python, Dagster, Snowflake, and Databricks • Define, evolve, and document Python engineering standards, patterns, and guardrails for the data platform • Lead adoption of version-locked dependency management and standardized development workflows • Build, maintain, and improve GitHub Actions CI/CD pipelines for build, test, security checks, and deployment • Review complex designs and code for correctness, security, performance, and long-term maintainability • Ensure data pipelines are reliable and operable, with proper error handling, retries, idempotency, and validation • Anticipate failure modes and design systems for recoverability and operational clarity • Troubleshoot CI/CD failures, dependency conflicts, and production incidents, participating in root-cause analysis • Apply secure development practices appropriate for healthcare data (secrets management, least privilege, safe logging) • Collaborate closely with platform architecture and data platform teams to ensure end-to-end coherence • Mentor senior engineers through design reviews, technical guidance, and knowledge sharing • As a Senior team member, you will be expected to actively participate in our hiring processes by serving on interview panels for future roles across the company.