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. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Bachelor's degree or equivalent experience 7+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions 5+ years of Cloud experience (Azure, GCP, AWS, or OCI) 5+ years of experience in programming languages such as Python, Java, etc. 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines 1+ years of experience delivering AI-driven analytics or data solutions Preferred Qualifications: Healthcare industry experience with healthcare interoperability standards such as FHIR, HL7, or related healthcare data models Experience building cloud-native applications, APIs, or data products or supporting solutions using visualization tools like Power BI, Tableau or similar tools Experience working with Databricks Lakehouse architecture and distributed data processing platforms Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling Excellent communication, problem-solving, and leadership skills Demonstrated experience working in global delivery models with effective onshore-offshore collaboration *All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll