• Provide end-to-end ownership of a legacy population health analytics product, with a primary focus on backend data pipelines and full responsibility for the associated full-stack application • Own, operate, and maintain a production analytics product, including data ingestion, transformation, orchestration, and the user-facing application • Build, maintain, and debug backend data pipelines using Airflow, Python (Pandas, Selenium), Snowflake, dbt, and Airbyte, with a strong emphasis on data quality, reliability, and performance • Take full-stack responsibility for the analytics application, including backend services (Node.js) and frontend components (React) • Handle all bug fixes, operational issues, and production incidents for the product, developing deep understanding of system behavior and failure modes • Investigate data quality issues, pipeline failures, and application-level defects, and implement durable, well-reasoned fixes • Make pragmatic improvements to legacy codebases across the stack, balancing delivery speed, correctness, and maintainability • Communicate clearly about system health, root causes, and technical tradeoffs with teammates and stakeholders