Data Engineer

• 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 have both built the data infrastructure as well as used it to analyze and interpret data.

• Strong Type Script, or Python and a willingness to work in Type Script, 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.

• Healthcare data standards: HL7 v2, FHIR, X12, C-CDA.

• Experience with CMS submissions (iQIES, PBJ) or a claims clearinghouse.

Backend

Type Script, 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, Git Hub Actions merge queue