Healthcare Data Engineer: Build Scalable ML Pipelines

Prysm Health; Santa Clara (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Prysm Health 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 fast querying and reporting across healthcare datasets.

You'll integrate data from EHRs, labs, and other healthcare apps, ensure data quality, and contribute to ML- or LLM-backed extraction systems, improving accuracy over time.

Qualifications

• Experience building data pipelines ingesting and processing clinical data.
• Strong SQL and coding in TypeScript or Python.
• Experience with ML or LLM-backed data extraction.
• Ability to treat data issues as incidents.

Responsabilités

• Design, build, and maintain scalable data pipelines.
• Develop data models and schemas for efficient querying.
• Integrate data from EHRs and lab systems with quality controls.
• Migrate facilities off incumbent EHR with mapping and cutover tooling.

Connaissances

TypeScript

Python

SQL

LLM/ML extraction

Data modeling

Outils

PostgreSQL

Prisma

pgvector

AWS

Terraform

NestJS

Description du poste

Prysm Health 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 fast querying and reporting across healthcare datasets.

You'll integrate data from EHRs, labs, and other healthcare apps, ensure data quality, and contribute to ML- or LLM-backed extraction systems, improving accuracy over time.