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 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.
Primary Responsibilities:
- Design and develop scalable data pipelines using Databricks, Apache Spark, and Python on Azure
- Build cloud-native solutions leveraging Azure Data Lake, Azure Data Factory, and Delta Lake
- Collaborate with Data Science and AI teams to operationalize ML models and embed them into production workflows
- Develop and maintain feature stores, model input pipelines, and real-time/streaming frameworks
- Ensure data quality, governance, and security across the full data lifecycle
- Build reusable frameworks, accelerators, and automation scripts to improve engineering efficiency
- Optimize performance, scalability, and reliability of data workflows and batch/streaming pipelines
- Participate in Agile development processes, including sprint planning, code reviews, and CI/CD pipelines
- Provide production support and on-call coverage, ensuring system stability and rapid issue resolution
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, or IT related field
- 6+ years of experience in Data Engineering with Python/PySpark
- 6+ years of experience in building ETL/ELT pipelines using Databricks
- 6+ years of experience working in Agile environments
- 5+ years of solid experience in SQL / PL-SQL
- 4+ years of experience with Azure Databricks and Delta Lake architecture
- 4+ years of hands-on experience with CI/CD (GitHub Actions, Azure DevOps)
- 3+ years of hands-on experience with Azure cloud services (ADF, ADLS, Databricks)
- 2+ years of experience with Databricks Delta Live Tables (DLT)
- 2+ years of experience with unit testing, validation, and pipeline testing frameworks
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.