Senior Manager Data Engineering

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. The Reporting Analytics and Data (RAD) team is seeking a Senior Manager of Data Engineering to help design, build, and support modern data solutions across UnitedHealth Group's Enterprise Services organization. In this role, you will lead the development of scalable ETL pipelines, data repositories, and integration patterns that bring together information from multiple enterprise systems and make it available for analytics, reporting, automation, AI/ML-enabled solutions, and business decision-making. You will partner closely with business and technology stakeholders to understand data needs, translate requirements into durable engineering solutions, and ensure data is reliable, accessible, and structured for long-term use. This role is ideal for someone who enjoys hands-on data engineering while also providing technical guidance, promoting best practices, and helping mature the team's data platform capabilities. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Define and execute the data engineering roadmap, aligning platform, architecture, and data delivery priorities with business objectives while ensuring measurable outcomes and long-term scalability Lead, mentor, and develop a team of data engineers and technical leads, fostering a culture of accountability, innovation, continuous improvement, and professional growth Direct the design, development, and support of scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and data warehousing solutions to deliver trusted, high-quality data for analytics and operational reporting Establish and enforce data governance standards, data quality controls, platform reliability practices, and operational processes to ensure secure, compliant, and dependable data assets across the organization Collaborate with business stakeholders, analytics teams, architects, and product leaders to prioritize initiatives, resolve cross-functional dependencies, and translate business requirements into scalable data and analytics solutions Partner with data science and AI/ML teams to establish reusable, governed data foundations that support model development, retrieval-augmented generation, intelligent automation, and production AI/ML workloads 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 in Computer Science, Information Systems, Data Engineering, Analytics, or a related field 5+ years of experience in data engineering, analytics, or data platform development 5+ years of experience with SQL/Snowflake, Python, data modeling, ETL/ELT development, data integration, performance optimization, and data pipeline orchestration 3+ years of demonstrated experience designing, building, and managing large-scale cloud-based data platforms using technologies such as Snowflake, Azure Data Factory (ADF), Azure Data Lake, Databricks, and enterprise data warehousing solutions 3+ years of experience implementing modern software development practices, including source control and CI/CD using GitHub, automated testing, code reviews, release management, and infrastructure-as-code methodologies within data