• Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems • Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs • Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs • Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly • Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. • Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking • Mentor other associate and intermediate data engineers as needed • Perform data analysis and provide insights to support decision-making across various departments • Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed • Other duties as assigned or requested.

• Design and Scale Data Infrastructure: Architect and maintain scalable, reliable data pipelines and systems across our stack. • Drive Data Quality and Governance: Build frameworks and standards that ensure data is accurate, well-documented, and trustworthy at every layer. • Evolve Our Platform: Continuously evaluate and improve our solutions - optimizing for performance, cost, and scalability while bringing best practices and a forward-thinking approach to every decision. • Enable the Business: Partner with Data Science, Analytics, and business teams to develop pipelines, data models, metric definitions and semantic layers and ensure the data is consistent and accurate. • Balance Speed and Scale: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders. • Champion Modern Practices: Embrace AI-assisted development workflows, stay current on tooling, and help the team continuously raise the bar.

Role Description We are seeking a highly skilled Cloud Data Platform Engineer with over 5 years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks and Snowflake. The ideal candidate will also have a solid background in configuring and implementing DevOps pipelines using GitActions CI/CD and Terraform. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. - Design, implement, and manage Cloud Data Platform infrastructure for Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), LogicApps, Azure Data Lake Storage Gen2 (ADLS Gen2), and Blob Storage - Configure and optimize Snowflake data warehouse solutions to meet business requirements - Develop and maintain CI/CD pipelines using GitActions to ensure seamless integration and deployment processes - Utilize Terraform for infrastructure as code (IaC) to automate and manage cloud resources - Collaborate with cross-functional teams to understand data requirements and deliver scalable, reliable cloud solutions - Monitor and troubleshoot Cloud Data Platform infrastructure to ensure high availability and performance - Implement security best practices to safeguard data and cloud resources Qualifications - Bachelor’s Degree in Computer Science, Management Information Systems or similar related technical degree - 5+ years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks (ADF, SHIR, LogicApps, ADLS Gen2, Blob Storage) - 3+ years of experience in Snowflake configuration and optimization - 3+ years of hands-on experience with DevOps tools and practices, including GitActions CI/CD and Terraform - 2+ years of experience with setting up, configuring, and optimizing Databricks for data engineering and analytics workloads - Solid understanding of cloud architecture and infrastructure as code (IaC) principles - Proven excellent problem-solving skills and ability to work in a fast-paced environment - Proven solid communication and collaboration skills - Ability to travel up to 10% when needed Preferred Qualifications - Experience with other cloud platforms and data solutions - Knowledge of data governance and compliance standards - Familiarity with containerization technologies such as Docker and Kubernetes Requirements *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Company Description 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

• Architect and build the core Growth Analytics data environment with Snowflake as the central platform • Design, implement, and maintain scalable data pipelines, integrations, and transformation workflows across internal business, product, operational, sales, marketing, finance, and planning systems • Build trusted, reusable data models and curated datasets to support internal analytics, reporting, forecasting, growth planning, and Strategy & Operations workflows • Develop and manage BI environments in Power BI and Looker, including semantic models, governed datasets, dashboard foundations, access patterns, and performance standards • Build AI-ready data layers to support internal intelligence solutions, including structured datasets, metadata, documentation, business definitions, and governed access patterns • Establish standards for data quality, testing, observability, lineage, documentation, naming conventions, metric definitions, and production reliability • Partner with internal stakeholders to translate business questions into scalable data products, reporting layers, and analytics-ready infrastructure • Create and maintain clear documentation for source systems, pipelines, data models, metric definitions, BI assets, and AI-ready datasets • Lead technical design discussions, make architecture recommendations, and mentor analytics, BI, and data partners on scalable data practices • Help move AOS from fragmented reporting and manual data processes toward a reliable, governed, and scalable intelligence layer