Senior Data Engineering Analyst

Requisition Number: 2368979
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.
Primary Responsibilities:

• Design, develop, and deploy AI-powered solutions and data engineering pipelines to address complex business challenges with an emphasis on the responsible use of AI
• Leverage enterprise-approved AI tools and modern technologies to streamline workflows, automate tasks, and drive continuous improvement across data systems
• Evaluate emerging trends and AI methodologies to inform solution design, data architecture, and strategic innovation
• Design, implement, and maintain scalable data pipelines, data warehouses, and data stores (SQL/NoSQL) with a focus on cloud and Platform-as-a-Service (PaaS) ecosystems
• Provide sizing, configuration assistance, and needs assessments for database architecture and data storage retrievals
• Ensure strict data quality, integrity, and compliance, performing regular data profiling, cleaning, and optimization for reporting, analytics, and machine learning
• Analyze current business practices, processes, and procedures to identify future opportunities for leveraging data storage and retrieval systems
• Collaborate with cross-functional software engineering, data science, and product teams to translate advancements into production-ready data capabilities
• 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:

• Undergraduate degree or equivalent experience
• 3+ years of professional experience in data engineering, ETL development, or data warehousing
• 2+ years of experience designing, building, and maintaining scalable data pipelines using Python, SQL, or other modern programming languages
• 1+ years of experience working with cloud-based data storage and architecture (e.g., Snowflake, AWS, Azure, GCP)
• 1+ years of experience with data integration, data profiling, cleansing, and establishing automated data quality checks
• 1+ years of experience developing and deploying automations or integrating advanced technology tools into data workflows

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.