Data Engineering Consultant - Azure Databricks

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
• 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:

• Bachelor's or Master's degree
• 8+ years of solid experience in SQL / PL-SQL
• 6+ years of hands-on experience with Azure cloud services (ADF, ADLS, Databricks) 
• 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 
• 2+ years of experience with Databricks Delta Live Tables (DLT)
• Experience with cloud migration (on-prem → Databricks/Azure)
• Experience with unit testing, validation, and pipeline testing frameworks
• Familiarity with medallion architecture and SCD2 implementations
• Solid understanding of secure coding practices and vulnerability remediation
• Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
• Proven ability to analyze logs, troubleshoot production issues, and optimize performance
• Demonstrated capability to design and deploy AI-powered solutions responsibly

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.