Senior Data Engineering Analyst - Python or SQL

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.

The resource will be part of an Agile development team, building and enhancing enterprise-grade data and software systems. They are expected to understand solution designs thoroughly and actively contribute to development, optimization, and testing activities across the assigned project modules. Core responsibilities include data analysis, performance optimization, Extract-Transform-Load (ETL/ELT) pipeline development, and reporting and analytics solution development. In addition, the role requires leveraging modern AI and Generative AI tools to automate processes, enhance data workflows, and build AI-driven solutions that improve efficiency, insight generation, and decision-making across the organization.

Primary Responsibility:

• 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

• Undergraduate degree or equivalent experience
• Solid working experience with Python and key data libraries such as Pandas, NumPy, and SQLAlchemy
• Hands-on experience develop, integrating and consuming APIs for data extraction and automation
• Practical experience working with relational databases including MS SQL and MySQL, with solid SQL development skills
• Experience working in Cloud environments (Azure) for data engineering and solution deployment
• Familiarity with AI tools and platforms, with the ability to apply AI/ML techniques to enhance data workflows, automation, and solution development
• Proficiency in at least one Python testing framework, such as unittest or pytest, to ensure high-quality and reliable code