Principal Data Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Lead the strategy, design, and delivery of enterprise-scale client reporting, analytics, and data-driven solutions Partner with business stakeholders, clients, and cross-functional teams to define reporting requirements, KPIs, metrics, and analytics roadmaps Design and implement scalable reporting and analytics solutions leveraging Azure Data Lake, Databricks, Spark, SQL, Power BI, and modern analytics technologies Establish governance and standards for reporting, metric definitions, data quality, and analytics delivery Lead the development of client-facing dashboards, executive reporting, scorecards, and self-service analytics capabilities Collaborate with data engineering teams to build and optimize data products, reporting platforms, and analytics ecosystem Drive reporting modernization initiatives across cloud platforms including Azure, AWS, and GCP environments Establish best practices, operating models, and technology roadmaps for client reporting and analytics programs Enable AI-assisted analytics and intelligent automation through the integration of GenAI, machine learning, and advanced analytics capabilities Ensure data accuracy, security, governance, and compliance across reporting and analytics solutions Provide leadership for reporting transformation, analytics optimization, and data modernization initiatives Collaborate with business stakeholders, product owners, and technology teams to define analytics strategy and solutions Lead analytics reviews, reporting governance sessions, and decision-making processes related to reporting and insights delivery Mentor analysts and engineers while fostering a culture of innovation, operational excellence, and continuous improvement Serve as a subject matter expert for client reporting, analytics, business intelligence, and modern data platforms Review the work of others and provide leadership, guidance, and coaching Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Business Analytics, Engineering, or a related field 10+ years of progressive experience in analytics, reporting, business intelligence, data engineering, or related disciplines Hands-on expertise with SQL, Python, reporting tools, data modeling, and modern analytics architecture principles Experience building executive dashboards, client-facing reports, scorecards, and self-service analytics solutions using Power BI or comparable BI platforms Experience with modern data technologies including Databricks, Apache Spark, SQL, data lakes, ETL/ELT pipelines, and data integration frameworks Experience enabling analytics delivery through automation, CI/CD practices, and modern data platform capabilities Experience working with large-scale enterprise datasets and