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.

Who you are:

• Experienced in both building data infrastructure and using it to analyze and interpret data.
• Strong in TypeScript or Python with a willingness to work in TypeScript, plus SQL.
• Treat dropped or duplicated records as incidents, not rounding errors.

Bonus points:

• Familiarity with healthcare data standards such as 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.
• Infra AWS (ECS Fargate, RDS, SNS/SQS, Bedrock), Terraform.