Senior Data Engineer

Optum seeks a Senior Data Engineer to support Employer & Individual (E&I) HEDIS Retrospective processing and cloud modernization for healthcare quality reporting.

Responsibilities

• Design, develop, test, deploy, and support scalable cloud-based data engineering solutions and automated data pipelines
• Build and optimize data integration frameworks, ETL processes, data transformations, and SQL-based solutions for healthcare analytics and HEDIS reporting
• Implement enterprise-approved AI, GenAI, and Agentic AI capabilities to automate data engineering workflows, improve operational efficiency, and enhance data quality
• Analyze complex business requirements and translate them into scalable technical solutions
• Support HEDIS measure processing, quality reporting initiatives, regulatory compliance requirements, and operational service-level commitments
• Partner with business stakeholders, product teams, auditors, and subject matter experts to resolve technical issues, validate data quality, and ensure successful delivery
• Investigate production issues, perform root-cause analysis, and implement sustainable corrective actions
• Apply engineering best practices including CI/CD, automated testing, code reviews, version control, and quality assurance processes
• Contribute to cloud migration and modernization efforts across healthcare data platforms
• Ensure data governance, security, auditability, and regulatory requirements are embedded in technical solutions
• Monitor and optimize data pipeline performance, reliability, scalability, and operational effectiveness
• Provide technical guidance and mentorship to other engineers as a senior individual contributor

Requirements

• 5+ years of experience in the health insurance industry supporting HEDIS programs, healthcare analytics, quality reporting, or healthcare data engineering initiatives
• 5+ years using HEDIS concepts, quality measures, measure engines, and healthcare data domains, including Member, Eligibility, Medical, Pharmacy (Rx), and Clinical data across Medicare, Medicaid, and Commercial lines of business
• 5+ years working with on-premise or cloud-based SQL databases in a business, research, healthcare, or analytical environment
• 3+ years designing, developing, and supporting cloud-based data engineering solutions, automated data pipelines, and large-scale data processing workflows
• 3+ years Agile/Kanban delivery experience, including unit testing, TDD, CI/CD, automated testing, and code reviews
• 1+ years experience evaluating, implementing, or deploying AI, GenAI, Agentic AI, or intelligent automation capabilities within enterprise technical workflows
• Experience collaborating with business stakeholders, auditors, product teams, and technical partners to deliver solutions and resolve issues
• Proven experience supporting regulatory compliance reporting, business SLAs, and operational commitments in a regulated healthcare environment
• Ability to troubleshoot complex technical and data-quality issues and drive resolution
• Ability to communicate complex technical and methodological concepts to non-technical business partners

Technologies

• AI
• GenAI
• Agentic AI
• ETL
• SQL
• CI/CD
• Agile
• Kanban
• TDD
• Fast Healthcare Interoperability Resources (FHIR)
• Databricks
• Azure

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Health Informatics, Information Systems, or a related technical field (or equivalent experience)
• Experience supporting cloud migration initiatives for large-scale healthcare data processing platforms
• Experience building and integrating production-ready AI capabilities into cloud-based data engineering architectures and workflows
• Experience with Fast Healthcare Interoperability Resources (FHIR) standards and clinical data integrations
• Experience supporting NCQA reporting processes and quality-measure implementations
• Experience with Databricks, Azure cloud technologies, and modern healthcare data platforms
• Experience mentoring engineers and providing technical leadership across cross-functional teams

Location: Eden Prairie, MN (remote) | Compensation: USD 91,700 - 163,700 per year | Minimum experience: 1+ year