Healthcare Data Engineer: Scalable Pipelines & ML

Prysm Health; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Prysm Health is seeking a data engineer to design and maintain scalable pipelines ingesting clinical data from multiple sources. You will develop data models supporting fast querying and reporting, and integrate data from EHRs, labs, and other healthcare apps to ensure quality.

Experience shipping ML-backed extraction and handling incidents of dropped/duplicate records is valued. The role emphasizes strong TypeScript or Python work with SQL, and involves moving facilities off legacy EHR systems

Qualifications

• Experience designing scalable data pipelines for clinical data.
• Proficiency in TypeScript or Python with strong SQL skills.
• Experience shipping ML-backed extraction and evaluating accuracy.
• Treat dropped or duplicated records as incidents requiring fixes.

Responsibilities

• 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 EHRs, lab systems, and other healthcare apps ensuring data quality.
• Migrate facilities off incumbent EHR with mapping, reconciliation, and cutover tooling.

Skills

TypeScript

Python

SQL

LLM/ML extraction

Data pipelines

Data modeling

EHR data integration

Quality data discipline

Tools

PostgreSQL

Prisma

pgvector

NestJS

Node.js

React

AWS

Terraform

Bedrock

Job description

Prysm Health is seeking a data engineer to design and maintain scalable pipelines ingesting clinical data from multiple sources. You will develop data models supporting fast querying and reporting, and integrate data from EHRs, labs, and other healthcare apps to ensure quality.

Experience shipping ML-backed extraction and handling incidents of dropped/duplicate records is valued. The role emphasizes strong TypeScript or Python work with SQL, and involves moving facilities off legacy EHR systems