Requisition Number: 2350430 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? 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: - Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms - Design, build, and optimize scalable analytics pipelines using modern data platforms (e.g., Databricks) - Develop and govern business intelligence solutions (e.g., Power BI), including semantic models, dashboards, and executive reporting - Partner with product, engineering, and business stakeholders to define metrics and enable data driven decision making - Apply advanced analytics and AI enabled insights to surface trends, risks, and opportunities - Ensure data quality, lineage, security, and governance across analytics assets - Optimize performance through efficient data modeling, query tuning, and pipeline optimization - Collaborate within global delivery models and provide technical guidance to analytics engineers - Participate in analytics platform partner sessions and workshops to stay aligned with platform capabilities and best practices 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: - 8+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise scale analytics solutions - 6+ years of experience using Databricks (Spark, SQL, Python, notebooks) to build and optimize analytics and data pipelines, with strong expertise in data modeling (star schemas, incremental loads, large datasets) and advanced SQL - 5+ years of Cloud experience (Azure, GCP, AWS) - 4+ years of hands on experience with Power BI, including advanced DAX, Power Query, semantic modeling, performance tuning, and executive level dashboards - 1+ years of experience delivering AI driven analytics or data solutions Preferred Qualifications: - Healthcare experience - Experience operating within governed enterprise environments, including security, data access controls, and compliance standards - Demonstrated experience working in global delivery models, with effective onshore-offshore collaboration - Proven ability to partner with product and business leaders, translating complex requirements into analytics solutions that drive decision making *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 $112,700 to $193,200 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, develop, and maintain scalable batch and real-time data pipelines on GCP • Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing • Build high-performance data transformations using Python and PySpark • Develop and optimize complex SQL queries for analytical workloads • Work extensively with BigQuery for large-scale data processing and performance tuning • Develop and deploy pipelines using Cloud Dataflow • Orchestrate workflows using Cloud Composer (Apache Airflow) • Manage data storage and lifecycle using Google Cloud Storage (GCS) • Implement version control and CI/CD pipelines using Git-based tools • Ensure data security, governance, and access control using GCP IAM • Optimize data solutions for performance, scalability, reliability, and cost-efficiency

• Improve code base and data model of the data estate • Assist with maintenance tasks and daily data operations • Monitor data loading process for Datawarehouse ETL/ELT • Migrate Central Backend to Central repository • Collaborate on migration of architecture to Microsoft Fabric • Involve in web scripting data analytics project • Enhance data pipeline and auditing processes • Support production issues across pipelines • Conduct ad hoc data analysis for business stakeholders

• Join our team at smartclip as a Software Engineer, Data Platforms. • You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. • Ensure our data platform is scalable, resilient, and cutting-edge. • Design and implement technical solutions for Big Data applications in an agile, high-performance environment. • Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala. • Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud. • Lead the way in test automation – from unit tests to complex integration tests. • Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.