Principal Data Engineering - Remote or Hybrid in MN or DC

Primary Responsibilities

• Work with engineering leadership, business leadership, and product teams to design, implement and optimize data integrations for the CPS Pharmacy Solutions business
• Play a pivotal role in driving innovation and scalability in data integration processes (inbound and outbound)
• Collaborate with AI teams to identify and ingest data to satisfy their needs
• Work within Optum's Enterprise Data Strategy to consume and share data in the most efficient manner - data mesh enablement, data mastering, data governance, data certification and self-service
• Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks
• Evaluate emerging trends to drive continuous improvement and strategic innovation

Required Qualifications

• Bachelor's degree in Computer Science or a STEM related engineering field
• 5+ years of experience modeling, designing, building, and supporting data integration processes (consumption and sharing)
• 5+ years of experience SQL, Python and data libraries used in data integration, i.e. profiling, transforming and validating large datasets
• Demonstrated experience with AI tools and libraries for building AI data corpora, models, and agents using large language models (LLMs)
• Demonstrated familiarity with best practices for data flow patterns for data ingestion, data sharing and data product delivery
• Ability to work under pressure, organize and prioritize responsibilities
• Quickly grasp complex technical and business concepts and express them in clear language

Preferred Qualifications

• Specialty Pharmacy and/or Healthcare experience; aptitude for acquiring solid industry knowledge
• Experience with modern healthcare data transport mechanisms and tools ie HL7, FHIR, Redox, Mirth, HIEDatabricks experience and/or certifications - Lake House, Delta Lake, Unity Catalog, pipeline integration
• Proven deep team involvement throughout the SDLC - a track record of performing code reviews and establishing best practices for team members