Data Engineering Lead

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:

• Data Pipeline Development
• Design, build, and maintain scalable ETL/ELT pipelines
• Ingest data from databases, APIs, cloud platforms, files, and streaming sources
• Automate data movement and transformation processes.

  Data Warehousing & Modeling

• Design data models such as Star Schema, Snowflake Schema, and Data Marts
• Build and maintain enterprise data warehouses and data lakes
• Optimize storage, partitioning, and query performance
• Data Quality & Governance
• Implement data validation and quality checks
• Ensure data accuracy, consistency, and completeness
• Apply governance, security, RBAC, encryption, and compliance standards
• Cloud Data Engineering
• Build solutions on Azure, AWS, or GCP
• Manage services such as Azure Data Factory, Databricks, ADLS, Synapse, Snowflake, and Spark
• Support cloud migrations and modernization initiatives
• Performance Optimization
• Tune SQL queries, Spark jobs, and pipelines
• Monitor batch and real-time workloads
• Resolve failures and ensure SLA adherence
• Collaboration & Requirements Gathering
• Work with Product Owners, Business Analysts, Data Scientists, and stakeholders
• Translate business requirements into scalable data solutions
• Support testing, validation, and production deployments
• DevOps & Automation
• Implement CI/CD for data pipelines
• Use GitHub, Azure DevOps, and automation frameworks
• Maintain version control and deployment processes
• Reporting & Analytics Enablement
• Provide clean, trusted datasets for Power BI, Tableau, AI/ML models, and operational reporting
• Enable self-service analytics across the organization
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Graduate degree or equivalent experience
• Proven experience in real-time + streaming pipelines
• Proven hands-on work in Databricks + Azure ecosystem
• Proven exposure to AI/agentic or LLM-based implementations and AI-DLC lifecycle
• Demonstrated work on enterprise-scale data platforms (not POCs only)

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.