Senior Data Engineer
Core
Build and own the data platform (pipelines, models, services) for an autonomous AI agent system that performs real-time clinical evaluation across hospital networks.
Role type
Senior Data Engineer (Healthcare AI Platform)
Builds
High-scale, multi-modal healthcare platform connecting EHR, genomics, and imaging data for AI agents.
Domain
Healthcare / AI / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data pipeline ownership, Google Cloud (GCP) architecture, dbt, TypeScript, Python, Event-driven systems (Pub/Sub), Data modeling (dimensional/normalized), Infrastructure as Code (Terraform), Healthcare data standards (FHIR, HL7, DICOM)
Preferred skills
Experience with Epic/Cerner data structures, Genomic data formats, SOC 2 compliance
Technologies
BigQuery, dbt, Cloud SQL (PostgreSQL), Memorystore (Redis), Cloud Storage, Pub/Sub, Terraform, Docker, NestJS, TypeORM, GoRules ZEN
Responsibilities
Build pipelines for structured/unstructured clinical data; Maintain dbt models and SQL standards; Design multi-modal patient data models; Operate event-driven services with retry/idempotency logic; Develop TypeScript APIs for agent interaction; Manage GCP infrastructure via Terraform; Ensure data quality and lineage for AI ground truth; Partner on data governance in HIPAA environments.
Seniority
Senior, hands-on IC