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 seeking a skilled Data Engineer with over four years of experience to design, build, and optimize data pipelines and integrations for our AI/ML teams. The ideal candidate will demonstrate advanced proficiency in SQL and ETL processes, a strong track record of integrating complex and disparate data sources, and hands-on experience with major cloud platforms. This role is pivotal in ensuring secure, reliable, and scalable data flows that drive business insights and innovation.

Primary Responsibilities:

• Develop, maintain, and optimize ETL pipelines to support analytics and AI/ML initiatives
• Integrate and manage data from diverse sources, ensuring accessibility and quality for data science teams
• Design and implement data movement strategies between AWS, Azure, Databricks, and Snowflake, ensuring efficient and secure transfers
• Handle near real-time data ingestion and processing using Kafka streaming solutions
• Deploy and manage data encryption protocols; work with encrypted datasets to ensure compliance and security
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions
• 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:

• Master's degree in a related field
• Certification in AWS, Azure, Databricks, or Snowflake platforms
• 4+ years of professional experience as a Data Engineer or in a similar data-focused role
• Solid hands-on experience with ETL tools and methodologies
• Proven experience moving and integrating data between cloud services and Snowflake
• Experience supporting AI/ML model development with robust data solutions
• Working knowledge of cloud platforms including AWS, Azure, and Databricks
• Familiarity with data governance and compliance best practices
• Advanced proficiency in SQL for data querying, transformation, and optimization
• Proven expertise in handling near real-time data and Kafka streaming technologies
• Demonstrated ability to deploy data encryption and manage encrypted datasets
• Proven excellent analytical, problem-solving, and communication skills.

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.