Senior Data Engineer
Core
Design, develop, and maintain backend services and production-grade data pipelines, including batch and event-driven ETL processes.
Role type
Senior Backend Engineer (Data Engineering)
Builds
Scalable backend services, reliable data pipelines, and integrations with external systems
Domain
Cloud-native data engineering and backend development
Deliverable
production ML models
Required skills
Python (async, FastAPI), AWS (S3, SQS, Lambda, RDS/PostgreSQL, DynamoDB), Kubernetes, SQL, pandas, Parquet, Pydantic, observability, data modeling
Preferred skills
HL7v2, FHIR, Epic, Oracle Health, UKG, QGenda, HIPAA, SOC 2, multi-tenant SaaS, data governance
Technologies
Python, FastAPI, AWS, Kubernetes, PostgreSQL, DynamoDB, S3, SQS, Lambda, pandas, Parquet, Pydantic, Claude Code, Cursor
Responsibilities
Design and maintain data models and schemas; Build reusable integration frameworks; Implement monitoring, logging, and alerting; Ensure data security and auditability; Collaborate with cross-functional teams; Leverage AI-assisted development tools
Seniority
Senior, hands-on IC
