• Design, build, and maintain data pipelines and ETL processes in Azure. • Utilize Azure tools such as Data Lake, Data Factory, and Synapse Analytics to manage and analyze data. • Good exposure in Fabric and ETL. • Ensure the quality and integrity of data, troubleshooting and rectifying any data issues. • Collaborate with analytics teams to support their data needs and enhance data-driven decision-making. • Optimize data models and storage solutions for performance and cost efficiency. • Implement data security practices to protect sensitive information. • Stay current with technology trends and best practices in data engineering and cloud platforms.

• Design and develop the next-generation data ingestion platform. • Incorporate AI agents for automation and orchestration. • Build and maintain intelligent ingestion pipelines (ETL/ELT). • Ensure pipelines are scalable, reusable, and resilient. • Research, prototype, and implement new AI technologies. • Continuously optimize ingestion processes. • Integrate diverse data sources (APIs, databases, events, SaaS, files). • Automate data integration processes. • Ensure data quality, reliability, and observability. • Apply anomaly detection techniques. • Implement intelligent data validation. • Define the AI-driven data ingestion architecture. • Establish best practices for data ingestion. • Collaborate with engineering, analytics, data science, and product teams. • Develop high-impact solutions for the business.

• Integration and ingestion of new data into the Data Lake and improvement of existing pipelines; • Responsible for understanding the needs of client teams; • Defining solutions within the client's processes and tools; • Negotiating priorities and deadlines and managing assigned activities (schedule and quality).

Requisition Number: 2338460 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. If you are located in XXX, you will have the flexibility to work remotely* as you take on some tough challenges. If you are located in XXX, you will have the flexibility to work remotely*, as well as work in the office as you take on some tough challenges. Primary Responsibilities: - Data Architecture & Engineering: - Design and optimize database architecture, data models, and schemas - Implement and maintain data pipelines (ETL/ELT) for large-scale data processing - Platform & Cloud Solutions: - Develop and manage data solutions on PaaS and cloud ecosystems - Ensure scalability, security, and performance of data platforms - Data Quality & Compliance: - Perform needs assessments and enforce strict data quality standards - Support compliance with organizational and regulatory requirements - Development & Deployment: - Build and deploy optimized solutions using Big Data technologies - Collaborate with Data Scientists and Analysts to deliver AI/ML-driven solutions - Collaboration & Leadership: - Lead projects independently, manage technical deliveries, and mentor junior engineers - Drive knowledge-sharing sessions and capability development within the team - Vendor & Stakeholder Management: - Manage relationships with software/hardware vendors for architectural impact - Work closely with enterprise teams for requirement gathering and solution design 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: - Bachelor's or Master's degree in Computer Science, Data Engineering, or related field - 5+ years of experience in data engineering, ETL development, and big data platforms - Experience with SQL/Postgres/MySQL - Experience with Azure cloud platform - Familiarity with CI/CD, DevOps, and ML Ops workflows - Knowledge of data modeling, schema design, and metadata management - Expertise in Big Data technologies (PySpark/Scala Spark, Hive/Hadoop/NoSQL) and data warehousing - Solid proficiency in Python, Scala - Demonstrated ability to implement data security, governance, and compliance standards - Proven skilled in building and automating data pipelines for batch and real-time processing *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.