Senior Data Engineer

Join Optum's Identity Management Team Optum 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 diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. This role supports the Identity Management rebuild initiative and ongoing support for the existing application. As part of the rebuild, the candidate will help build and support AI-enabled data pipelines that improve automation, monitoring, testing, data quality validation, and workflow efficiency. The ideal candidate is a Data Engineer with 5+ years of experience in Python, Azure Databricks, PySpark, Azure Data Factory, and Git, along with hands-on exposure to enterprise-approved AI tools and custom AI agents to improve engineering productivity. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. 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 directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's Degree 5+ years of hands-on data engineering experience building, supporting, and operating data pipelines and data platforms 4+ years of proficiency in Python for programming, automation, data processing, and scripting 4+ years of Azure Databricks experience, including pipeline development, job monitoring, workload support, performance tuning, and cost-aware development practices 4+ years of PySpark experience for distributed data processing, transformations, data quality validation, and performance tuning 3+ years of Git experience including CI/CD basics, version control, pull request workflows, branching strategies, and release support 1+ years of basic working understanding of data governance, data security, access controls, privacy, and enterprise compliance concepts *All Telecommuters 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). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. UnitedHealth Group