Data Engineer V - US

Role overview Lead a data engineering pod building and operating enterprise data pipelines and AI/RAG data infrastructure in healthcare. Set technical direction and delivery standards, turn clinical and business needs into a prioritized roadmap, and mentor engineers while maintaining operational accountability.

Responsibilities - Lead and mentor engineers, prioritize work, and drive reliable delivery through Agile practices. - Set standards for data modeling, SQL, semantic layers, batch and streaming pipelines, CI/CD, and AI/RAG data workflows. - Translate provider and clinical stakeholder needs into scalable data solutions and coordinate with data science, security, and compliance teams. - Define and report operational measures such as pipeline uptime, recovery time, and data quality; lead remediation when service targets are missed. - Own root-cause analysis, documentation, operating procedures, escalations, and participation in the on-call rotation. - Guide privacy and security practices, including AI-related risks, and contribute to cloud and AI infrastructure cost planning.

Requirements - 8–12 years in technology, including substantial data leadership; 6–8 years architecting cloud data solutions and at least 2 years leading engineers or technical workstreams. - Extensive healthcare experience, including work with providers, clinical operations, or healthcare organizations; familiarity with EMR/EHR systems such as Epic or Cerner. - Knowledge of healthcare data standards and compliance, including HIPAA, HL7, and FHIR. - Expert SQL, data modeling, and semantic-layer skills, with experience setting team standards for data platforms and pipelines. - Ability to turn ambiguous needs into technical plans, communicate with senior stakeholders, and coordinate across technical teams. - Bachelor’s degree in computer science or a related field, or equivalent practical experience; U.S. citizenship required.

Nice to have - Cloud Professional Data Engineer or ML Engineer certification. - Experience defining large-scale LLM/RAG data architecture and standards.

Benefits and work setup - U.S. compensation range listed as $165,830–$243,141.80 per year, varying by location and qualifications. - The package may include annual incentives, equity awards, and an employee stock purchase plan.