Data Engineer

Prysm Health, Inc.; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Prysm Health, Inc. is building scalable data pipelines to ingest, process, and store clinical data from multiple sources.

You will develop data models and ensure data quality across EHRs, labs, and healthcare apps, while migrating facilities off legacy EHRs with trusted tooling. The role emphasizes strong TypeScript or Python skills, SQL prowess, and delivering ML/LLM-backed extraction systems with measurable accuracy improvements.

Qualifications

• Experience designing and operating scalable data pipelines.
• Strong coding in TypeScript or Python with SQL proficiency.
• Track record shipping ML/LLM-backed extraction systems.

Responsibilities

• Design, build, and maintain scalable data pipelines ingesting clinical data.
• Develop data models and schemas for efficient querying and reporting.
• Integrate data from EHRs, lab systems, and healthcare apps with quality controls.
• Migrate facilities off incumbent EHRs with reliable tooling and cutover processes.

Skills

TypeScript

Python

SQL

Tools

PostgreSQL

Prisma

NestJS

Job description

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