Join our team as a Data Engineering Lead and play a pivotal role in shaping the future of healthcare data solutions. At Optum, part of the UnitedHealth Group family, we are dedicated to making the health system work better for everyone. You'll work with brilliant minds on challenging projects that leverage cutting-edge technology to drive innovation and improve lives. This is a unique opportunity to contribute your expertise in data engineering to an organization committed to achieving its fullest potential.

Lead the design, development, and support of large-scale data solutions. Develop advanced SQL queries and optimize them for high-volume data processing. Create and implement ETL/ELT processes, focusing on performance tuning and efficiency. Design, develop, and deploy AI-powered solutions, emphasizing Responsible AI practices and delivering tangible business value. Mentor team members, conduct code reviews, and drive continuous improvement initiatives for reliability and operational excellence.

We are seeking a Data Engineering Lead with a minimum of 6 years of hands-on experience in data engineering. Essential skills include expertise in Databricks, Snowflake, Azure Cloud, and modern data platforms. Advanced proficiency in SQL and Python for data manipulation and automation is crucial. Extensive experience in ETL/ELT design and performance tuning, along with a strong understanding of SDLC methodologies, is required. Familiarity with AI solutions and Responsible AI is also a key requirement.