Optum is hiring a Senior Data Engineer to support E&I HEDIS Retrospective data processing and cloud modernization for healthcare quality reporting.

Design, build, test, deploy, and support scalable cloud-based data engineering solutions and automated data pipelines
Create and optimize data integration frameworks, ETL, 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 raise data quality
Translate complex business needs 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 defects, conduct root-cause analysis, and implement sustainable corrective actions
Apply engineering best practices including CI/CD, automated testing, code reviews, version control, and quality assurance
Contribute to cloud migration and modernization efforts across healthcare data platforms
Ensure technical solutions incorporate data governance, security, and auditability aligned with regulatory requirements
Monitor and optimize pipeline performance, reliability, scalability, and operational effectiveness
Provide technical guidance and mentorship to engineers while acting as a senior individual contributor

5+ years of experience in the health insurance industry supporting HEDIS programs, healthcare analytics, quality reporting, or healthcare data engineering initiatives
5+ years working with 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 using 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 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+ year evaluating, implementing, or deploying AI, GenAI, Agentic AI, or intelligent automation capabilities in enterprise technical workflows
Experience collaborating with business stakeholders, auditors, product teams, and technical partners to deliver solutions and resolve issues
Proven ability to support regulatory compliance reporting, business SLAs, and operational commitments in a regulated healthcare environment
Ability to troubleshoot complex technical and data-quality issues and drive effective resolution
Ability to communicate complex technical and methodological concepts to non-technical business partners

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 | Experience: 1+ years

Senior Data Engineer

Job Description