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.
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:
- Build, enhance, and support Azure data pipelines and data solutions for the Identity Management rebuild and existing application support
- Develop and support data pipelines using Azure Databricks, Azure Data Factory, PySpark, Python, and Git-based development practices across development, staging, and production environments
- Troubleshoot data issues, improve pipeline reliability, and contribute to performance tuning and cost optimization activities
- Support ingestion, transformation, serving, monitoring, and data quality activities for distributed processing workloads while following data governance, privacy, and security expectations
- Support the build and operationalization of custom AI agents to assist with development, testing, documentation, data validation, monitoring, production support, runbook execution, and data workflow automation
- Use Databricks Genie, GitHub Copilot, Microsoft 365 Copilot, and other enterprise-approved GenAI tools to accelerate pipeline development, automation, troubleshooting, documentation, analysis, and decision-making workflows
- Maintain a minimum of 90% weekly usage of approved AI tools and leverage AI tools and agents to enhance coding, documentation, data analysis, testing, and delivery workflows
- Collaborate with stakeholders, platform engineering, analytics, and application teams to support delivery priorities and communicate risks, dependencies, and progress clearly
- Stay current with evolving AI capabilities and apply them to improve delivery quality, efficiency, innovation, and responsible engineering practices
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 hands-on data engineering experience building, supporting, and operating data pipelines and data platforms
- Azure Databricks experience, including pipeline development, job monitoring, workload support, performance tuning, and cost-aware development practices
- Azure Data Factory experience with pipeline orchestration, scheduling, dependency management, monitoring, and operational support
- PySpark experience for distributed data processing, transformations, data quality validation, and performance tuning
- Git experience including CI/CD basics, version control, pull request workflows, branching strategies, and release support
- Experience supporting performance tuning and cost optimization activities for cloud data pipelines, Databricks workloads, and distributed processing jobs
- Basic working understanding of data governance, data security, access controls, privacy, and enterprise compliance concepts
- Baseline proficiency with enterprise-approved AI tools including GitHub Copilot, Microsoft 365 Copilot, Databricks Genie, and other approved GenAI platforms
- Proficiency in Python for programming, automation, data processing, and scripting
- Proven good problem-solving skills with the ability to perform root cause analysis, troubleshoot data pipeline issues, and follow reliable engineering practices
- Proven good communication and collaboration skills, with the ability to share technical updates, risks, dependencies, and delivery progress clearly
Preferred Qualifications:
- Prior experience building Identity data pipelines, identity resolution pipelines, consumer profile data pipelines, member/customer identity management solutions, or similar identity-matching and entity-resolution capabilities
- Hands-on experience building, configuring, or supporting custom AI agents to assist with development, testing, documentation, data validation, monitoring, and data workflow execution
- Hands-on experience using Databricks Genie and GitHub Copilot for pipeline development, debugging, documentation, automation, and development productivity improvements
- Data engineering experience with Python, PySpark, Azure Databricks, Azure Data Factory, and Git in a cloud data platform environment
- Healthcare, insurance, consumer profile, or enterprise identity data experience is preferred
AI Skills and Usage Expectations:
- All contractor resources are expected to demonstrate baseline proficiency with enterprise-approved AI tools and maintain consistent weekly usage of GitHub Copilot, Microsoft 365 Copilot, Databricks Genie, and other approved GenAI platforms, where applicable
- Apply AI tools to improve coding, documentation, data analysis, testing, monitoring, troubleshooting, decision-making workflows, and delivery quality and velocity
- Use or support custom agents for pipeline development, automated test creation, data quality validation, failure detection, incident triage, runbook execution, and operational reporting while staying current with evolving AI capabilities, features, and enterprise guidance
*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 $72,800 - $130,000 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.
Skills Required
- 5+ years of hands-on data engineering experience building, supporting, and operating data pipelines and data platforms
- Azure Databricks experience with pipeline development, job monitoring, workload support, performance tuning, and cost-aware development
- Azure Data Factory experience with pipeline orchestration, scheduling, dependency management, monitoring, and operational support
- PySpark experience with distributed data processing, transformations, data quality validation, and performance tuning
- Git experience including CI/CD basics, version control, pull requests, branching, and release support
- Experience with performance tuning and cost optimization for cloud data pipelines, Databricks workloads, and distributed processing jobs
- Basic understanding of data governance, data security, access controls, privacy, and enterprise compliance
- Baseline proficiency with GitHub Copilot, Microsoft 365 Copilot, Databricks Genie, and other approved GenAI platforms
- Proficiency in Python for programming, automation, data processing, and scripting
- Problem-solving, root cause analysis, data pipeline troubleshooting, and reliable engineering practices
- Good communication and collaboration skills for sharing technical updates, risks, dependencies, and delivery progress
- Experience building identity, identity resolution, consumer profile, member, or customer identity data pipelines
- Experience building, configuring, or supporting custom AI agents
- Hands-on experience using Databricks Genie and GitHub Copilot for development productivity
- Healthcare, insurance, consumer profile, or enterprise identity data experience
Optum Compensation & Benefits Highlights
-
Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
-
Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
-
Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Gallery
Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.