Principal Data Engineer - Remote

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

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:

• Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms
• Design, build, and optimize scalable analytics pipelines using modern data platforms (e.g., Databricks)
• Develop and govern business intelligence solutions (e.g., Power BI), including semantic models, dashboards, and executive reporting
• Partner with product, engineering, and business stakeholders to define metrics and enable data driven decision making
• Apply advanced analytics and AI enabled insights to surface trends, risks, and opportunities
• Ensure data quality, lineage, security, and governance across analytics assets
• Optimize performance through efficient data modeling, query tuning, and pipeline optimization
• Collaborate within global delivery models and provide technical guidance to analytics engineers
• Participate in analytics platform partner sessions and workshops to stay aligned with platform capabilities and best practices

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:

·       10+ years of experience in Data Engineering, Analytics Engineering, Data Architecture, Software Engineering, or related disciplines.

·       5+ years of cloud experience (Azure, GCP, AWS, or similar platforms).

·       Strong hands-on experience with Databricks or similar tools, using Python and/or PySpark and SQL to build scalable applications and solutions.

·       Experience delivering AI-driven data solutions.

·       Experience working within enterprise environments with a strong focus on scalability, reliability, security, and governance.

·       Proven track record of leading large-scale technical initiatives, collaborating effectively with business and technology stakeholders, influencing architecture decisions across multiple teams, and driving enterprise-wide engineering best practices.

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.

·       Excellent communication, problem-solving, and leadership skills.

·       Demonstrated experience working in global delivery models with effective onshore-offshore collaboration.

*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 salar