Senior Data Engineering Consultant - Snowflake

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.

Position in this function designs and delivers modern data and AI platforms leveraging Snowflake, DBT, Semantic Modeling, and Snowflake Cortex AI capabilities. Build scalable, secure, and compliant healthcare data solutions that power analytics, decision intelligence, and AI-driven applications.

Primary Responsibilities:

• Design and implement enterprise-scale data warehouse and ELT/ETL solutions using Snowflake, SQL, and Python
• Build AI-powered solutions using Snowflake Cortex AI, including Cortex Analyst, Cortex Search, Cortex Agents, and AI Functions
• Develop and maintain DBT transformations, Semantic Models, testing frameworks, and CI/CD pipelines
• Contribute to data governance practices including RBAC, data security, privacy controls, and compliance
• Take part in architecture reviews, mentor engineers, and drive engineering best practices
• Partner with business and product teams to deliver high-impact analytics and AI 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:

• Fulltime graduation degree in a related field
• 10+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering
• Hands-on experience with DBT, Semantic Layer design, and CI/CD implementations
• Experience building AI-enabled data solutions and working with LLM/Agent architectures
• Solid expertise in Snowflake, SQL, Python, ETL/ELT, and dimensional data modelling
• Proven technical leadership and stakeholder management skills

Preferred Qualifications:

• Hands-on technology leader who can bridge Data Engineering, Analytics Engineering, Governance, and AI Agent Architecture to deliver next-generation healthcare data and AI solutions
• Experience with REST API integrations
• Cloud platform experience, preferably in Microsoft Azure
• Working knowledge of Docker and Kubernetes
• Healthcare domain expertise with knowledge of data privacy, compliance, and regulated environments

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.