Senior Data Engineer

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:

• Develop, enhance, and maintain scalable data pipelines to support enterprise analytics and reporting needs
• Design and optimize data processing workflows using PySpark, Python, and Snowflake, following data warehousing and data modeling best practices
• Support and optimize Databricks workloads for batch and streaming use cases
• Manage cloud storage and data movement using Azure Blob Storage and AZ Copy
• Develop AI tools to minimize the manual workload
• Build scalable ETL/ELT pipelines in Databricks using PySpark, Spark SQL, Delta Live Tables, and workflows
• Perform activities which include platform stability, incident resolution, and operational support
• Identify and remediate security vulnerabilities, ensuring compliance with enterprise and healthcare data security standards
• Execute tools, framework, and software version upgrades to maintain platform currency and reliability
• Create, manage, and monitor Azure Data Factory (ADF) pipelines across development, test, and production environments
• Collaborate with cross functional teams to troubleshoot issues, improve performance, and deliver reliable data solutions
• Contribute to documentation, knowledge transfer, and continuous improvement of the data platform
• 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
• Bachelor's degree 
• 3+ years of hands on experience with Databricks using PySpark and Snowflake in enterprise data platforms
• 3+ years of experience in Development and Analysis
• 1+ years of hands‑on experience with IBM DataStage and Teradata
• Hands‑on experience with AI tools building
• Experience working in or supporting healthcare data environments
• Experience with Apache Spark (batch and/or streaming)
• Solid experience with UNIX/Linux environments and scripting
• Working knowledge of Airflow for workflow orchestration
• Familiarity with GitHub and GitHub Copilot for source control and development productivity
• Solid understanding of data warehousing concepts, data modeling, and ETL/ELT best practices
• Proficiency in Python for data engineering and automation
• Proven excellent communication, analytical, and problem‑solving skills

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.