Healthcare Data Engineer: Scalable Pipelines & Analytics

Prysm Health; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Prysm Health is seeking a data infrastructure professional 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 efficient querying and reporting while ensuring data quality and consistency across EHRs, labs, and healthcare apps.

You should be proficient in TypeScript or Python with SQL, familiar with HL7 v2, FHIR, X12, C-CDA, and have experience with CMS submissions (iQIES,

Qualifications

• Experience building data infrastructure and using it for analysis.
• Proficient in TypeScript or Python with willingness to work in TypeScript, plus SQL.
• Familiar with healthcare data standards such as HL7 v2, FHIR, X12, C-CDA.
• Experience with CMS submissions (iQIES, PBJ) or a claims clearinghouse.

Responsibilities

• Design, build, and maintain scalable data pipelines ingesting, processing, and storing clinical data from multiple sources.
• Develop and iterate on data models and schemas to support efficient querying and reporting.
• Integrate data from EHRs, labs, and healthcare apps ensuring data quality and consistency.

Skills

TypeScript

Python

SQL

Data modeling

Data quality

Tools

PostgreSQL

Prisma

pgvector

AWS

ECS Fargate

RDS

SNS/SQS

Bedrock

Terraform

Job description

Prysm Health is seeking a data infrastructure professional 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 efficient querying and reporting while ensuring data quality and consistency across EHRs, labs, and healthcare apps.

You should be proficient in TypeScript or Python with SQL, familiar with HL7 v2, FHIR, X12, C-CDA, and have experience with CMS submissions (iQIES,