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Today

Senior Data Engineer

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

Today

$92k - $164k/yr Full time Senior Artificial Intelligence Azure Data Engineer

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Job Description

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

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