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, build, and maintain scalable data pipelines using Azure Data Engineering technologies, including Azure Data Factory, Azure Data Lake, Databricks, and Apache Spark
• Develop and optimize batch and streaming data processing solutions using Databricks (Structured Streaming, Auto Loader) with Scala and/or Python
• Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, reusability, and performance
• Architect and implement end-to-end data movement solutions across OLTP and OLAP systems, ensuring efficient ingestion, transformation, and consumption of data
• Write complex, high-performance SQL queries for data transformation, validation, and analytics use cases
• Support analytics and reporting use cases by enabling curated datasets for Power BI and/or other BI and front-end analytics tools
• Collaborate with business stakeholders, product owners, and analytics teams to translate business requirements into robust data solutions
• Contribute to AI/BI dashboards, Databricks Genie, and advanced analytical use cases leveraging modern lakehouse capabilities
• Ensure data pipelines are reliable, fault-tolerant, and monitored; implement best practices for error handling, logging, and performance tuning'
• Participate in Agile development ceremonies (sprint planning, stand-ups, retrospectives) and follow iterative delivery practices
• Implement and maintain testing automation for data pipelines, including unit tests and data quality validations
• Follow best practices for security, governance, and compliance in cloud-based data platforms
• 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:

• Graduate degree or equivalent experience
• 7+ years of solid hands-on experience in Data Engineering using Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks or equivalent)
• Proven expertise with Databricks and Apache Spark, including:
  • Batch and streaming processing
    • Auto Loader
    • Structured Streaming
    • Lakehouse and Medallion architecture
    • Proficiency in Scala and/or Python for building data pipelines and transformations
    • Solid command of SQL, with deep understanding of:
  • Query optimization
    • OLTP vs OLAP concepts
    • Dimensional and analytical data modeling
    • Experience working with Power BI or other visualization / front-end analytics tools
    • Solid understanding of solution architecture, including designing scalable, maintainable, and cost-effective data platforms
    • Familiarity with Agile/Scrum methodologies and experience working in Agile teams
    • Experience with testing automation frameworks and data quality validation techniques
    • Good understanding of cloud-based data security, governance, and access control concepts
    • Solid problem-solving skills and the ability to work independently as well as in cross-functional teams

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.