Sr Manager Data Engineering - Hybrid in MN or DC or Remote

Requisition Number: 2343637
Transform Healthcare Through AI Innovation at Optum
Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare-we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match.
As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges-and directly improve health outcomes for millions of people.
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference-advancing health equity and creating a simpler, more connected healthcare experience for everyone.
This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI.
Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
As a Senior Manager of Data Engineering, you will lead teams responsible for building and operating scalable data platforms that power analytics, machine learning, and AI applications across the enterprise. You will define technical direction, guide platform architecture, and ensure reliable and efficient data pipelines that enable large-scale data processing and AI development. This role requires solid leadership capabilities, deep expertise in modern data engineering technologies, and the ability to partner closely with product, data science, and platform teams to deliver impactful data solutions.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:

• Lead and grow data engineering teams by mentoring engineers and fostering a solid engineering culture focused on reliability, innovation, and collaboration
• Define data platform architecture and strategy supporting enterprise analytics, AI, and machine learning workloads
• Design and maintain scalable batch and streaming data pipelines for ingestion, transformation, orchestration, and data delivery
• Develop modern data engineering platforms using technologies such as Apache Spark, Databricks, and Snowflake
• Enable AI and machine learning workflows by building feature stores, ML data pipelines, and curated data layers
• Implement data quality, governance, and observability frameworks including lineage, validation, and metadata management
• Ensure operational excellence including SLAs, SLOs, reliability, scalability, performance optimization, and cost efficiency
• Collaborate with product, analytics, platform, and security teams to translate business needs into scalable data solutions

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

• 8+ years of experience in data engineering or data platform engineering including large-scale ETL/ELT pipelines and distributed data processing systems
• 6+ years of experience working with modern data engineering technologies such as Apache Spark, Databricks, Snowflake, or equivalent platforms
• 6+ years of experience programming in Python or Scala for data engineering along with advanced SQL for data transformation and analytics
• 5+ years of experience building and operating cloud-based data platforms on AWS, Azure, or GCP
• 5+ years of experience designing data models and storage architectures including dimensional modeling, data lakes, lakehouse architectures, or data warehouses
• 3+ years of experience leading data engineering teams or technical initiatives including mentoring engineers and influencing architecture decisions

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Data Science, or a related technical field
• Experience building real-time or streaming data pipelines using Kafka, Kinesis, Event Hubs, or similar technologies
• Experience with workflow orchestration tools such as Airflow, Databricks Workflows, or Prefect
• Experience implementing data governance frameworks including metadata management, lineage tracking, and cataloging tools
• Experience implementing DevOps practices for data platforms including CI/CD pipelines and Infrastructure as Code

*All employees working remotely 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 find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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