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:

• This role will focus on several areas: core ETL engineering, platform reliability, and forward-looking modernization (containerization, orchestration)
• Python ETL Development: Design, build and maintain python-based scripts that support batch and streaming ETL workflows, ensuring reliability, modularity, and reusability across data pipelines
• Data Pipeline Orchestration: Configure, optimize and monitor ETL jobs using existing orchestration tools, ensuring SLAs are met and failures are proactively handled
• Data Quality Automation: Implement automated validation, reconciliation, and various checks within ETL flows to ensure accuracy and completeness of ingested datasets

• Support and Troubleshooting: Diagnose and resolve issues in production ETL pipelines, including performance issues, dependency failures, and data inconsistencies

• 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:

• Undergraduate degree or equivalent experience
• MS SQL & data modeling experience is necessary with the ability to create and optimize queries and work with various database technologies and cloud data sources
• Python proficiency is a must with experience in script design, build, error handling, logging and performance tuning
• Version control with Git / Github for deployment pipelines for data engineering codebases
• Containerization fundamentals: Docker, Kubernetes, packaging and deploying python ETL workloads for portable and load balanced execution
• Analytical & Consulting ability to translate technical concepts into business value and collaborate effectively with cross-functional teams
• Continuous learning mindset is important as we are proactive in creating and adopting new tools, patterns and architectures for modern data platforms

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.