Senior Data Engineer - Remote

Job d:

Location:

Eden Prairie, Minnesota, United States Salary: $91,700 - $163,700/year

Job Area:
Technology Company:
United Health Group Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

The Optum Health Financial Tech team is seeking a Senior Data Engineer to support Employer & Individual (E&I) HEDIS Retrospective data processing and cloud modernization initiatives. This hands-on technical role will design, develop, and support scalable cloud-based data engineering solutions that enable healthcare quality reporting, operational excellence, and regulatory compliance.

The ideal candidate combines solid healthcare and HEDIS domain expertise with modern data engineering skills and experience implementing AI-enabled solutions. You will work closely with business partners, product teams, functional subject matter experts, and auditors to deliver reliable data pipelines, automate workflows, and support critical business commitments across Medicare, Medicaid, and Commercial lines of business. This role requires a solid individual contributor who can influence technical direction, solve complex data challenges, and drive operational excellence in a highly regulated environment.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

Design, develop, test, deploy, and support scalable cloud-based data engineering solutions and automated data pipelines

Develop and optimize data integration frameworks, ETL processes, data transformations, and SQL-based solutions supporting 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

Collaborate with business stakeholders, product teams, auditors, and functional 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 initiatives and modernization efforts across healthcare data platforms

Ensure data governance, security, auditability, and regulatory requirements are incorporated into technical solutions

Monitor and optimize data pipeline performance, reliability, scalability, and operational effectiveness

Provide technical guidance and mentorship to other engineers while serving as a senior individual contributor

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

5+ years of experience in the health insurance industry supporting HEDIS programs, healthcare analytics, quality reporting, or healthcare data engineering initiatives5+ years of experience 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 business5+ years of experience utilizing on-premise or cloud-based SQL databases in a business, research, healthcare, or analytical environment3+ years of experience designing, developing, and supporting cloud-based data engineering solutions, automated data pipelines, and large-scale data processing workflows3+ years of Agile/Kanban delivery experience, including engineering best practices such as unit…