• Support the development and maintenance of secure, scalable data systems that enable clinical, operational, and financial analytics in a HIPAA‑regulated environment. • Contribute to building and operating data pipelines that ingest, transform, and standardize data from internal and external healthcare sources such as EHRs, claims vendors, and SDOH APIs. • Work closely with analysts and business stakeholders to understand requirements and help create reliable, analytics‑ready datasets and basic data models. • Assist in documenting data processes and governance practices, including data lineage, access controls, and handling procedures for sensitive health information. • Participate in data quality efforts by implementing validation checks, monitoring data flows, and helping identify anomalies that could impact downstream analytics. • Help develop and maintain reusable dbt models and shared data transformations, with exposure to open healthcare data models like Tuva, OMOP, or FHIR. • Collaborate with senior engineers to improve infrastructure and team processes, taking on increasing responsibility as skills grow and the data engineering function expands.