Data Engineer

We are looking to hire a Data Engineer to join our team as we build the data backbone for a mental and behavioral health practice. This role will build the platform that turns appointments, assessments, billing, and patient engagement data into the metrics our clinical and operations teams rely on. As a mid-level data engineer, you'll own meaningful pieces of our pipeline end-to-end: from pulling data out of third-party APIs, through medallion architecture transformations in dbt, to exposing curated metrics through our semantic layer. This is a hands-on role on a small team. You'll write code that runs in production every day, ship improvements weekly, and have direct visibility into how the data is used. We work in a HIPAA-regulated environment, so thoughtfulness about data handling is part of the job. Location Hybrid role. Preference for candidates located in the San Francisco Bay Area, San Diego, or Salt Lake City. Remote is possible, with the expectation of regular in-person collaboration. What You'll Work On - Maintaining and improving the orchestration layer: Dagster assets, jobs, schedules, sensors, and the dependency graph that ties extraction → loading → transformation together. - Adding new data sources to the pipeline; extracting from APIs (GraphQL, REST), Google Drive folders, and CSV/JSONL drops on S3, then landing them in our bronze schemas via Dagster assets. -...