Senior Data Engineering Analyst

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.

We are looking for a Data Engineer  to design, build, and optimize large-scale data architectures and platforms. The ideal candidate will have strong experience with cloud ecosystems, data pipelines, Big Data technologies, and enterprise-grade data engineering practices. This role will work closely with cross-functional teams to enable scalable, secure, and high‑performing data solutions that fuel analytics, AI/ML, and enterprise operations.

Primary Responsibilities:

• Data Architecture & Engineering
  • Design, develop, and optimize database architectures, data models, and schemas
  • Implement and maintain robust ETL/ELT pipelines for large-scale data processing
  • Build solutions that enable efficient ingestion, transformation, and consumption of enterprise data
• Platform & Cloud Solutions
  • Develop, manage, and optimize data solutions across PaaS and cloud environments
  • Ensure scalability, performance, reliability, and security of data platforms
  • Support cloud modernization and data platform migration initiatives
• Data Quality & Compliance
  • Conduct needs assessments and implement strong data quality and validation frameworks
  • Support adherence to organizational and regulatory compliance standards
  • Enable data governance practices across pipelines and platforms
• Development & Deployment
  • Build and deploy high‑performance solutions using Big Data and distributed computing technologies
  • Collaborate with Data Scientists and Analysts to support ML/AI workloads and data-driven applications
  • Apply modern engineering practices including version control, testing, CI/CD, and automation
• Collaboration & Leadership
  • Independently lead projects and drive technical solution delivery
  • Mentor junior engineers and contribute to capability building within the team
  • Facilitate knowledge‑sharing sessions and promote engineering best practices
• Vendor & Stakeholder Management
  • Manage relationships with software and hardware vendors, assessing architectural impact
  • Partner with enterprise teams for requirement gathering, solutioning, and cross‑platform integration
• 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/Master’s in Computer Science, Engineering, Information Systems, or equivalent experience
• Hands-on experience in data engineering, data platform development, or large-scale data processing
• Experience with cloud services (Azure/AWS/GCP), data warehousing, and data platform engineering
• Experience building enterprise‑grade ETL/ELT pipelines
• Familiarity with analytics platforms, storage engineering, and distributed systems
• Solid proficiency in SQL, Java, Python, and Big Data frameworks
• Proven exposure to supporting AI/ML workloads in collaboration with Data Science teams

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.