Data Engineer V - US

Have worked extensively within the Healthcare domain.

• EMR/EHR experience, specifically Epic and/or Cerner:
• Have partnered closely with Healthcare Providers, Clinical Operations teams, or Healthcare Organizations.
• Understand healthcare data standards and compliance frameworks such as HIPAA, HL7, and FHIR.
• Have experience translating provider and clinical stakeholder needs into scalable data solutions.

Leads the technical direction, delivery standards, and day-to-day execution of a data engineering pod — spanning core EDW pipelines and AI/RAG data infrastructure — translating stakeholder needs into a prioritized roadmap while mentoring engineers and owning operational accountability for the team's pipelines. Required Education & Experience

• Bachelor's degree in Computer Science, a related technical field, or equivalent hands-on experience.
• 8–12 years of experience in technology, with significant data-centric leadership.
• 6–8 years hands-on experience architecting data solutions on a cloud platform.
• 2+ years formally leading engineers or technical workstreams.

Preferred

• Cloud Professional Data Engineer or ML Engineer certification.
• Experience with healthcare data compliance frameworks (HIPAA, HL7, FHIR).
• Experience setting standards for LLM/RAG data architecture at scale.

Knowledge, Skills, and Abilities

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