Join Optum, a part of the UnitedHealth Group family, and contribute to our mission of making the health system work better for everyone. We are seeking a Senior Data Engineer to design, develop, and support large-scale data solutions. This role offers an incredible opportunity to work on high-performance teams tackling sophisticated challenges that matter in healthcare technology. We foster an environment of innovation and strive to leap beyond the status quo to uncover new ways to serve.

We believe in the power of diverse perspectives and are committed to creating a healthier atmosphere. UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer. Candidates must pass a drug test prior to employment.

Design, develop, and support robust, large-scale data solutions using modern cloud-based platforms. Optimize advanced SQL queries for high-volume data processing and develop efficient Python scripts for data engineering and automation.

Lead critical production issue resolution, conduct Root Cause Analysis (RCA), and implement preventive actions. Collaborate with cross-functional teams to prioritize and resolve issues, ensuring timely recovery of business services. Perform code reviews and mentor team members, providing technical leadership and driving continuous improvement initiatives for reliability and operational excellence.

A minimum of 3 years of hands-on experience in Data Engineering, including designing and developing large-scale data solutions. Strong expertise in Databricks, Snowflake, and Azure Cloud is essential.

Proficiency in advanced SQL development, query optimization, and Python for data engineering. Extensive experience with ETL/ELT processes, performance tuning, and debugging is required. A solid understanding of SDLC methodologies and best practices is expected. Familiarity with monitoring, incident management, and production support is also necessary. Experience designing and deploying AI-powered solutions, focusing on Responsible AI, is a plus.