Founding Data Engineer

Stealth Health Startup•San Francisco, CA

7d•Onsite

About The Position

We are building the first AI-first medical practice from the ground up, reimagining primary care and providing patients with deep insights and immediate diagnosis and treatment. Unlike most health AI startups, we deliver actual care — our clinical team writes prescriptions, orders labs, and manages patients. You'll build the data infrastructure that powers real medical decisions, not a demo. Founders have built and scaled a previous telemedicine company to over $100M in revenue and we're funded by top investors.

Requirements

5+ years software engineering with significant experience processing healthcare data
Deep knowledge of FHIR bundles, HL7, and healthcare data standards
Strong Python skills for data processing workflows
Experience with document extraction from messy sources (PDF, XML, HTML, JSON)
AWS experience (S3, DynamoDB)
Understanding of data sanitization and PII handling in healthcare
AI-native (uses Claude/Cursor daily)

Nice To Haves

Built ETL pipelines at scale for healthcare organizations
Experience with medical document parsing and text extraction
Familiarity with HIE integrations and health data networks
Built webhook-based real-time data systems
Understanding of HIPAA technical requirements

Responsibilities

Build pipelines to ingest medical records from HIEs, EHRs, and patient uploads
Process FHIR bundles, HL7 messages, and CCDAs into normalized data models
Extract structured data from unstructured sources (PDFs, scanned documents, XML, HTML, JSON)
Handle webhook processing for real-time data feeds
Build robust error handling and data validation
Design and maintain data models optimized for AI retrieval and clinical workflows
Build efficient storage and retrieval systems on AWS (S3, DynamoDB)
Implement data compression strategies for large medical records
Create data sanitization and PII handling pipelines
Monitor data quality and pipeline health
Ensure compliance with FHIR/HL7 standards
Map between different healthcare data formats
Stay current on healthcare interoperability requirements
Work with external data partners and APIs