The Optum Insight team at Optum Technology is seeking a Senior Manager of Data Engineering to lead and support our data engineering initiatives. In this role, you will lead a team of data engineers to design, build, and maintain enterprise data architectures and scalable integration pipelines. Our team focuses on delivering reliable, secure, and high-performance data platforms that drive impactful health technology solutions and actionable insights across the organization.
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 manage data engineering teams in designing, developing, and maintaining scalable data architecture, pipelines, and data integration solutions
- Oversee end-to-end data lifecycle operations, ensuring data quality, governance, security, and compliance standards across enterprise data platforms
- Collaborate with product, analytics, and business stakeholders to define data strategies and deliver actionable insights aligned with organizational goals
- Establish data engineering best practices, architectural frameworks, and design standards to optimize platform performance and reliability
- Drive continuous optimization of cloud and on-premise data pipelines, ETL/ELT workflows, and database infrastructure
- Mentor and develop engineering staff, fostering a collaborative, high-performance, and continuous learning engineering culture
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:- Bachelor's degree or 4+ years of equivalent data engineering experience in lieu of a degree
- 8+ years of professional experience in data engineering, data warehousing, or enterprise data architecture
- 5+ years of experience designing and implementing complex ETL/ELT pipelines and data integration workflows
- 4+ years of hands-on experience with SQL and relational/non-relational database technologies (e.g., PostgreSQL, MySQL, Snowflake, MongoDB)
- 3+ years of direct people management or technical leadership experience leading data engineering or software development teams
- 3+ years of experience with enterprise cloud data platforms (e.g., AWS, Azure, GCP, or Databricks)
Preferred Qualifications:- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related technical field
- Experience with big data technologies and distributed computing frameworks (e.g., Apache Spark, Hadoop, or Kafka)
- Experience with data modeling methodology (e.g., Star Schema, Data Vault, Dimensional Modeling)
- Experience implementing CI/CD pipelines, DevOps practices, and Infrastructure as Code for data workflows
- Familiarity with data governance tools, data cataloging, and data lineage platforms
*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 - $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.
