Hybrid role in Eden Prairie, Minnesota for a senior-level Sr Mgr Data Engineering at UnitedHealth Group. The company focuses on healthcare innovation, and this role involves building scalable ML platforms and systems.
Skills / Requirements
- Apache Spark
- AWS
- Azure
- CI/CD
- Cloud Platforms
- Data Governance
- Data Lakes
- Data Pipelines
- Data Warehouses
- Databricks
- ETL/ELT
- Feature Stores
- GCP
- Infrastructure as Code
- Metadata Management
- MLOps
- Python
- Scala
- Snowflake
- SQL
- Vibe Coding
Why Apply
This role is ideal for someone skilled in MLOps and cloud-based ML platforms, leveraging tools like Claude Code and GitHub Copilot for rapid prototyping and deployment. The focus is on building AI/ML solutions for healthcare.
What You'll Be Doing
You'll lead data engineering teams, design data platform architecture, and maintain data pipelines. Your work will enable AI and ML workflows, ensuring data quality and operational excellence while collaborating with various teams.
Working in Eden Prairie, Minnesota
- Eden Prairie offers a strong job market for tech professionals, with numerous opportunities in healthcare and technology sectors.
- The area is known for its high quality of life, with excellent schools and a range of outdoor activities.
- Located near Minneapolis, Eden Prairie provides access to a vibrant cultural scene and diverse dining options.
- The region experiences four distinct seasons, offering a variety of recreational activities year-round.
Pay and Career Growth
The salary range is $112,700 to $193,200 annually, reflecting the senior-level responsibilities. The role offers a comprehensive benefits package, incentive programs, and career development opportunities within a leading healthcare innovator.
Benefits and Perks
- 401k contribution
- Comprehensive Benefits
- Equity
- incentive programs
Is This Role Right for You?
Good fit if you...
- Experienced in MLOps and cloud-based ML platforms.
- Skilled in Python or Scala for data engineering.
- Proven leadership in data engineering teams.
May not be for you if...
- Lacks experience with cloud-based data platforms.
- Unfamiliar with vibe coding tools like GitHub Copilot.
- No background in healthcare or life sciences.
Original Job Description
Requisition number: 2340804
Job category: Technology
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.
Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
As a Sr Mgr Data Engineering, you will be an important part of teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams.
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:
Lead and grow data engineering teams by mentoring engineers and fostering a strong engineering culture focused on reliability, innovation, and collaboration
Define data platform architecture and strategy supporting enterprise analytics, AI, and machine learning workloads
Design and maintain scalable batch and streaming data pipelines for ingestion, transformation, orchestration, and data delivery
Develop modern data engineering platforms using technologies such as Apache Spark, Databricks, and Snowflake
Enable AI and machine learning workflows by building feature stores, ML data pipelines, and curated data layers
Implement data quality, governance, and observability frameworks including lineage, validation, and metadata management
Ensure operational excellence including SLAs, SLOs, reliability, scalability, performance optimization, and cost efficiency
Collaborate with product, analytics, platform, and security teams to translate business needs into scalable data solutions
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:
7+ years of experience in data engineering or data platform engineering including large-scale ETL/ELT pipelines and distributed data processing systems
6+ years of experience programming in Python or Scala for data engineering along with advanced SQL for data transformation and analytics
5+ years of experience designing data models and storage architectures including dimensional modeling, data lakes, or data warehouses
4+ years of experience working with modern data engineering technologies such as Apache Spark, Databricks, Snowflake, or equivalent platforms
4+ years of experience building and operating cloud-based data platforms on AWS, Azure, or GCP
3+ years of experience leading data engineering teams or technical initiatives including mentoring engineers and influencing architecture decisions
1+ years of experience with rapid prototyping and production deployment using vibe coding tools like Claude Code, Cursor, Replit, and GitHub Copilot
Preferred Qualifications:
Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
Experience implementing data governance frameworks including metadata management, lineage tracking, and cataloging tools
Experience implementing DevOps practices for data platforms including CI/CD pipelines and Infrastructure as Code
Experience in Healthcare or Life Sciences
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.