Healthcare Data Engineer: Scalable Pipelines & ML Tools

Prysm Health; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Prysm Health in Oregon is seeking a data engineer to design, build, and maintain scalable data pipelines that ingest, process, and store clinical data from multiple sources.

You will develop data models and schemas to support querying and reporting, integrate data from EHRs and lab systems, and advance ML-backed extraction to improve accuracy.

The role emphasizes data quality, incident handling for duplicates, and collaboration with frontend and backend teams to deliver reliable analytics.

Qualifications

• Experience building data pipelines ingesting and processing clinical data
• Proficient in TypeScript or Python and SQL
• Experience shipping ML-backed extraction systems and measuring accuracy
• Treat data issues (duplicates or dropped records) as incidents, not errors

Responsibilities

• Design, build, and maintain scalable data pipelines for clinical data from multiple sources
• Develop data models and schemas to support querying and reporting
• Integrate data from EHRs, lab systems, and healthcare apps ensuring data quality
• Migrate facilities off incumbent EHRs with mapping and reconciliation tooling

Skills

TypeScript

Python

SQL

Tools

NestJS

PostgreSQL

Prisma

pgvector

React

Vite

AWS

ECS Fargate

RDS

SNS/SQS

Bedrock

Terraform

Jest

Vitest

Puppeteer

GitHub Actions

Job description

Prysm Health in Oregon is seeking a data engineer to design, build, and maintain scalable data pipelines that ingest, process, and store clinical data from multiple sources.

You will develop data models and schemas to support querying and reporting, integrate data from EHRs and lab systems, and advance ML-backed extraction to improve accuracy.

The role emphasizes data quality, incident handling for duplicates, and collaboration with frontend and backend teams to deliver reliable analytics.