The Data Engineer/Analytics Engineer will design and maintain data pipelines, models, and infrastructure.
- Work closely with Product, Engineering, Clinical, Operations, and Finance teams to understand data requirements.
- Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
- Implement best-in-class data governance, quality checks, lineage, and observability.
- Contribute to architectural decisions, technology selection, and data engineering standards.
- Build metrics and dashboards that support critical business needs, including operational insights, clinical analytics, funnel conversion, cost modeling, and financial reporting.
- Proven ability to lead technical initiatives and influence systems and process improvements.