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# Senior Data Engineer

- **Company:** Optum, Inc
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Clinical Data Repository, Cloud Computing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mapping, Electronic Data Interchange (EDI), File Transfer, Interoperability, Systems Development Life Cycle, Standard Sql, Software Engineering, Enterprise Data Management, Application Enhancement Tool, Fast Healthcare Interoperability Resources, Snowflake, Health Level Seven International
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dc6296bfbabef2e5

## About the Role

* Bachelor's degree or 4+ years of equivalent software development / data engineering experience
 * 5+ years of healthcare data, clinical data exchange, business analysis, or technical implementation leadership experience

 * 5+ years of Demonstrated experience managing multiple concurrent technical implementations and cross-functional initiatives
 * 3+ years of experience working with SQL, data analysis, data integrations, and file transfer technologies within an SDLC framework
 * 3+ years of experience and strong knowledge of healthcare operations, clinical data standards, quality reporting (HEDIS®, CMS Stars), HIPAA, and PHI compliance regulations
 * 2+ years of experience leveraging AI-powered tools and automation solutions to improve productivity, analysis, documentation, and decision-making, * Experience with healthcare interoperability standards including HL7, CCD/CCDA, FHIR, EDI/X12, and clinical flat files
 * Experience working with provider organizations, health systems, healthcare vendors, or EHR/EMR platforms
 * Experience with HIEs (Health Information Exchanges) and healthcare interoperability ecosystems
 * Hands-on experience with ETL processes, data mapping, transformation, validation, and enterprise data platforms (e.g., Snowflake, Cloud)
 * Provider-facing implementation and vendor integration expertise

 * Demonstrated experience building automated solutions, scorecards, and operational dashboards
 * Proven track record in process improvement, operational excellence, and change management within enterprise healthcare environments
 * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

As a Senior Data Engineer on our Enterprise Clinical Data and Platforms team, you will lead end-to-end clinical data exchange implementations with healthcare providers, health systems, vendors, laboratories, and Health Information Exchanges (HIEs). In this role, you will bridge technology and business operations to drive the intake, discovery, development, testing, and production support of strategic data feeds. You will work with cutting-edge data integration platforms, clinical quality frameworks (HEDIS®, CMS Stars), and automation technologies to streamline clinical data acquisition, optimize workflows, and enhance operational efficiency across enterprise healthcare initiatives.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities

 * Lead end-to-end clinical data exchange implementations with providers, health systems, vendors, laboratories, and Health Information Exchanges (HIEs)
 * Manage multiple concurrent implementations through intake, discovery, development, testing, QA, deployment, and production support
 * Partner with UnitedHealthcare (UHC) and OptumCare leadership to identify, prioritize, and onboard strategic clinical data sources
 * Serve as the primary liaison between business, operational, provider, vendor, and technology teams to gather requirements and translate business needs into scalable technical solutions
 * Ensure clinical data submissions comply with quality, regulatory, HEDIS®, CMS Stars, and Primary Source Verification (PSV) audit requirements
 * Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous operational improvement
 * Evaluate emerging trends to inform solution design and strategic innovation in data integration
 * Deliver first- and second-level operational support for implementation, production, and data acquisition issues through incident and problem management
 * Develop, maintain, and monitor dashboards, scorecards, and operational metrics to provide visibility into implementation progress, gap closure performance, and data quality

 * Provide subject matter expertise, mentoring, and knowledge-sharing support to analysts, implementation teams, and cross-functional stakeholders
 * Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement

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