Principal Data Engineer - Remote

UnitedHealth Group is a global leader in health care innovation. The Principal Data Engineer will provide technical leadership for analytics engineering, design scalable analytics pipelines, and ensure data governance across analytics assets.

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

Requirements:

• 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
• 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