Data Engineer

--------------------- *What you'll work on* --------------------- * Design, build, and maintain scalable data pipelines that ingest, process, and store clinical data from multiple sources. * Develop and iterate on data models and schemas that support efficient querying and reporting. * Integrate data from various sources, including EHRs, lab systems, and other healthcare applications, ensuring data quality and consistency. * Migrate facilities off their incumbent EHR with mapping, reconciliation, and cutover tooling that operators can trust. ----------------------- *You might be a fit if* ----------------------- * You have both built the data infrastructure as well as used it to analyze and interpret data. * Strong TypeScript, or Python and a willingness to work in TypeScript, plus SQL you are proud of. * You have shipped LLM- or ML-backed extraction and built systems to measure and improve its accuracy over time. * You treat a dropped or duplicated record as an incident, not a rounding error. -------------- *Bonus points* -------------- * Healthcare data standards: HL7 v2, FHIR, X12, C-CDA. * Experience with CMS submissions (iQIES, PBJ) or a claims clearinghouse. ----------- *Our stack* ----------- *Backend* TypeScript, Node, NestJS *Data* PostgreSQL with row-level security, Prisma, pgvector *Frontend* React, Vite, Radix *Infra* AWS (ECS Fargate, RDS, SNS/SQS, Bedrock), Terraform *Quality* Jest, Vitest, Puppeteer acceptance specs, GitHub Actions merge queue