Staff Data Engineer, Platform Engineering
Core
Lead the design and build of a next-generation patient data platform, developing distributed data systems for secure, scalable, and intelligent use of healthcare data across a multi-tenant, multi-cloud environment.
Role type
Staff Data Engineer (Platform Engineering)
Builds
Distributed data processing systems, multi-tenant data platforms, and shared services for analytics and AI-driven healthcare use cases.
Domain
Healthcare data infrastructure, multi-cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed data processing (Spark, Flink), Cloud data platforms (Databricks, Snowflake), Data transformation (dbt), Workflow orchestration (Airflow), Streaming systems (Kafka), Infrastructure-as-code (Terraform), Lakehouse architectures (Iceberg, Delta)
Preferred skills
AI-driven data pipelines, Agentic/AI-assisted coding tools, Regulated environment experience (HIPAA/HITRUST), Interoperability standards (FHIR, HL7), Large-scale platform migrations
Responsibilities
Lead architecture and development of core data platform capabilities; Design and implement multi-tenant, multi-cloud data systems; Build and operate large-scale distributed data processing systems; Define and evolve data lifecycle patterns; Establish data quality gates and validation frameworks; Design systems integrating with CI/CD, deployment orchestration, and observability.
Seniority
Staff, hands-on technical leadership