Requisition Number: 2318677 Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, code, test, document, and maintain high-quality and scalable big data solutions - Research, evaluate, and deploy new tools, frameworks and patterns to help build a sustainable big data platform - Identify gaps and opportunities for improvement of existing solutions - Define and develop APIs for integration with various data sources in the enterprise - Translate customer requirements into solution design - Make accurate development effort estimates to assist management in project and resource planning - Collaborate with management, quality assurance, architecture, and other development teams - Write technical documentation and participate in production support - Participate with prototypes as well as design and code reviews - Keep skills up to date through ongoing self-directed training The ideal candidate will be a self-starter who can learn things quickly, who is enthusiastic and actively engaged You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Undergraduate degree or equivalent experience - 6+ years of hands-on software development experience - 5+ years of development experience with Java or Scala, Python, JSON, Web Services - 2+ years of experience in distributed systems technologies like Spark, Databricks, Hadoop, Snowflake - 3+ years of experience in relational databases (SQL) - Experience with Agile/SCRUM methodology Preferred Qualifications: - Experience in infrastructure services on at least one major cloud platform (Azure preferred) - Experience developing rules in rules engine - 2+ years of experience in Kafka streaming - 2+ years with NoSQL databases (Cassandra preferred) - 2+ years working with Docker and Kubernetes - Thorough understanding of service-oriented architecture (SOA) concepts - Experience defining and developing APIs for integration with various data sources in the enterprise *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $xx,xxx to $xx,xxx 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. 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.

• Design, build and operate data and AI platforms as code, using Git‑based workflows as the source of truth. • Implement pull‑request‑driven change control, automated testing and CI/CD pipelines. • Define and maintain Infrastructure‑as‑Code for data and AI systems to ensure consistency, traceability, and rollback capability. • Design and maintain scalable ETL/ELT pipelines that support AI/ML model training and retraining, feature engineering and feature stores, batch and near‑real‑time inference workflows. • Support Retrieval‑Augmented Generation (RAG) and internal AI agents by curating, indexing and refreshing select data sources. • Implement proactive monitoring for data quality and schema integrity, pipeline performance and failure modes. • Partner with Product and Engineering teams to operationalize models by integrating data pipelines into MLOps workflows. • Build and operate Azure-based data and AI platforms, including storage, compute, orchestration and containerized services.

• Query, extract, and transform data from the data warehouse (BigQuery) to answer complex, multi-dimensional business questions spanning inventory, organic sales, traffic, sponsored ads, and DSP. • Understand the full schema of the data warehouse — which tables hold what data, how they relate to each other, and what joins are required for accurate cross-domain analysis. • Partner with internal teams to identify the most common and highest-value analytical questions clients and team members need answered. • Design and build automated data pipelines and queries that feed AI tools with clean, structured, and contextually appropriate data. • Develop and refine Claude Skills and Gemini Gems that enable conversational AI to conduct reliable eCommerce data analysis — working directly with prompt engineers to encode analytical methodologies into AI workflows. • Collaborate with prompt engineers to document best practices for data analysis (statistical methods, benchmarking approaches, trend identification) so that AI tools can replicate expert-level thinking. • Continuously improve and validate AI-generated outputs against manual analysis to ensure accuracy and trustworthiness. • Help automate recurring analytical workflows into chatbot-style interfaces that the broader team can use without SQL knowledge. • Identify operational bottlenecks and repetitive tasks across the business, then design and deploy AI agents to automate them — from data reporting to client deliverable generation to internal workflow management. • Build, test, and maintain AI agents using Claude (Claude Code, Claude Co-work) and Gemini, ensuring they perform reliably and are adopted by the team.

• Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring • Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes • Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies • Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub • Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines • Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making