Senior Principal Data Engineer, Healthcare Economics

UnitedHealth Group

  • Dublin
  • Permanent
  • Full-time
  • 1 month ago
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.About the RoleAs Senior Principal Data Engineer, you will be developing and maturing our Data Engineering Capability and mentoring a team focused on developing a new, cutting-edge cloud-based data platform that will support advanced analytics and machine learning models to improve health outcomes for our members. You will be focused on providing expert technical guidance on the environment and the data architecture working on integrating multiple complex data sources into our data platform with a mix of different infrastructure (i.e. on-prem, cloud) and various data applications and tools (i.e. Spark, Hive, HBase, Airflow, etc.). You will be making critical decisions, focused on innovation; developing proofs of concepts that leverage data in new and exciting ways. Are you a strategic thinker with a passion for mentoring high-performing data engineering teams? If yes, we need your organizational talents and business discipline to help fuel the mission of building modern healthcare analytics powered by the data.Primary Responsibilities:
  • Mentor a talented team of data engineers, fostering a culture of collaboration, innovation, and continuous learning
  • Collaborate with Data Science and Business Intelligence leaders to design and implement a secure, compliant, and scalable data infrastructure to support the organization’s growing date needs
  • Build common frameworks and best practices in code development, deployment and automation/orchestration of data pipelines
  • Identify, design, and champion process improvements throughout the processing lifecycle for: Data quality initiatives ensuring data integrity
  • Data encryption
  • Data de-identification to ensure data security
  • Role-based data access
  • Automating manual processes
  • Optimizing data delivery
  • Tuning and optimizing data processes for greater scalability, etc.
  • Own and manage the deliverables assigned to the data engineering team, ensuring accurate, concise documentation of the code base including data ingestion an enrichment pipelines that support critical analytics, as well as production pipelines that feed into downstream systems
  • Drive a performance-driven culture, setting clear goals and measuring results
Required Qualifications:
  • MS/BA degree in Computer Science, Engineering, Mathematics, or other technology fields
  • Proven track record of building and scaling high-performing data engineering teams
  • Deep understanding of DevOps tools, Git workflow and building CI/CD pipelines
  • Solid experience in data architecture, data modeling, data warehousing, and big data technologies (Snowflake, Scala, Spark, PySpark, etc.) as well as cloud computing platforms (AWS, Azure, GCP)
  • Solid leadership qualities, including strategic thinking, problem-solving, cross team collaboration
  • Solid experience in data engineering leadership roles, preferably within the healthcare industry
  • A passion for innovation and a desire to make a significant impact on the healthcare industry
Preferred Qualifications:
  • Master’s degree in computer science, Engineering, Mathematics, or other technology related fields
  • Healthcare industry knowledge and experience
  • Data engineering certifications
  • Data virtualization tools and technology experience with tools like such Python Dash, Tableau, R-shiny, etc.
  • Experience building statistical models using SAS or R
  • ML and/or AI model development and deployment
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.

UnitedHealth Group