Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Principal Data Engineer will provide technical leadership for analytics engineering, design and optimize scalable data pipelines and business intelligence solutions, and guide enterprise-wide data governance, AI-enabled insights, and engineering best practices.
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
Skills
- 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)
- 4+ years of hands-on experience with Databricks or similar tools, using Python and/or PySpark and SQL to build scalable applications and solutions
- 3+ years of experience delivering AI-driven data solutions
- 3+ years of experience working within enterprise environments with a strong focus on scalability, reliability, security, and governance
- 3+ years of 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
Benefits
- Flexibility to work remotely from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
Company Overview
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