Role Description This is a remote position and can be located anywhere in the US. We are seeking a highly skilled Senior Manager, Data Engineering to design, build, and optimize modern data platforms that power enterprise analytics, reporting, machine learning, and AI initiatives. - Design and maintain scalable data platforms and pipelines. - Develop and optimize cloud-based data architectures. - Automate infrastructure provisioning using Infrastructure-as-Code tools. - Collaborate with data scientists, analysts, architects, and business leaders to gather requirements. - Troubleshoot complex technical issues. - Implement data quality controls and improve platform governance and security. - Mentor engineers and conduct code reviews. - Evaluate emerging technologies such as GenAI and machine learning. - Continuously improve data platform performance, reliability, and cost efficiency across cloud environments including AWS, Snowflake, Azure, and Databricks. Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field. - Equivalent combination of education and relevant work experience may be considered. - Master's degree in Computer Science, Information Systems, Data Science, or related field preferred. - 10+ years of progressive experience in data engineering, analytics engineering, business intelligence, or related technical roles. - Proven track record designing and delivering enterprise-scale data platforms and analytics solutions. - Demonstrated ability to lead technical initiatives and influence architectural decisions. - Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders. - Experience operating in fast-paced, highly collaborative Agile environments. - Ability to independently drive projects from concept through implementation and support. - Strong problem-solving mindset with a focus on business outcomes, automation, and continuous improvement. Requirements - Data Engineering & Architecture - Advanced proficiency in SQL and Python. - Experience building and maintaining scalable ETL/ELT pipelines. - Strong expertise in PySpark and distributed data processing. - Experience designing enterprise data models and lakehouse architectures. - Deep understanding of data warehousing, data lakes, and modern data platforms. - Experience implementing data quality, monitoring, and governance frameworks. - Cloud & Platform Engineering - Hands-on experience with AWS services such as S3, IAM, Glue, and Lake Formation. - Experience working with Snowflake, Databricks, Azure, or GCP. - Experience designing secure, scalable cloud-native data architectures. - Understanding of cloud security, identity management, and access controls. - Infrastructure & DevOps - Experience with Terraform or similar Infrastructure-as-Code tools. - Strong Git-based development practices. - Experience implementing CI/CD pipelines and deployment automation. - Knowledge of platform monitoring, optimization, and operational support. - Collaboration & Delivery - Experience partnering with business stakeholders to translate requirements into technical solutions. - Ability to advise teams on best practices, architecture, and platform capabilities. - Experience working within Agile, Scrum, Kanban, or SAFe delivery frameworks. - Strong documentation, communication, and stakeholder management skills. Benefits - Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts. - Life and AD&D Insurance. - 401(k). - Tuition Reimbursement. - Resources that encourage a lifetime of healthier living. - Compensation ranges from $133,200.00 - $195,000.00 annually, based on skills, experience, and education.

• Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric, establishing bronze, silver, and gold layers that power self-serve analytics across the organization. • Design and build Claude projects and skills that allow marketing, product, and finance stakeholders to query and interpret data independently. • Partner with organizational leaders to define, document, and maintain a canonical business lexicon and data context that inform the self-serve BI platform and ensure consistent interpretation across teams. • Create and maintain robust data ingestion pipelines to ensure reliable, timely data flow from source systems into the lakehouse. • Build data models and BI dashboards as needed to support marketing analytics, product analytics, and financial analytics for a subscription DTC business. • Establish and enforce data governance protocols, including lineage, documentation, quality checks, and access controls. • Mentor and develop a cross-functional team of data engineers, analytics engineers, and BI analysts, setting technical standards and guiding best practices. • Collaborate with stakeholders across growth, product, finance, and clinical teams to translate business questions into scalable data solutions.

Requisition Number: 2361684 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together If you are located in FL, you will have the flexibility to work remotely* as you take on some tough challenges. Primary Responsibilities: - Work with engineering peers, business leadership, and partner teams to design, implement and optimize data solutions for the member experience and product design teams - Collaborate closely with BI and Analytics partners to design transformations for business-ready data - Assist with Data Analysis by providing context around data and developing a deep knowledge of the team's core datasets - Lead the design of flexible and scalable data ingestion pipelines to make data ingestion more efficient integrating new technologies and best practices - Supporting data governance with data cataloging, data cleansing, data security, archiving - Solve complex data development issues within on premise and cloud environments - Collaborate on quality strategies that ensure our data platforms are correct, resilient, scalable and secure - Partner with team members to share ownership of data pipelines and develop shared team capabilities 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 - Bachelor's degree in computer science or a related field - 7+ years of overall experience in Data Engineering / Data Analysis Roles - 5+ years of experience modeling, designing, building, and supporting Data Lake / Data Warehouse transformation architectures in a production environment to support BI and Analytics models - Demonstrated experience in supporting BI initiatives, working closely with stakeholders to deliver high quality consumable data - Proficiency in SQL, Python and data libraries used in profiling, transforming and validating large datasets - Familiar with best practices for data flow patterns for data ingestion, data sharing and data product delivery - Proven expertise in Cloud data services, including Azure Managed databases, Azure Data Factory, AWS RDS, AWS Glue, Data Bricks, and others - Proven exposure to emerging AI tools and a growing proficiency with developing solutions utilizing AI models and agents - Proven ability to work under pressure, organize and prioritize responsibilities - Proven ability to quickly grasp complex technical and business concepts and express them in clear language - Proven self-motivated with the ability to work independently as well as part of a team - Proven effective communication skills (both written and verbal) with internal and external clients *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 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. 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.

• Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently. • Work hands-on with the open-source stack: Build and maintain production data workflows using tools such as dbt, ClickHouse, and open-source orchestration frameworks (Airflow, Dagster, or similar). • Engineer and tune databases: Write and optimize complex SQL across SQL Server and Postgres — schema design, indexing, performance tuning, query optimization, and root-cause analysis. • Support platform modernization: Contribute to the hands-on migration away from Azure Databricks toward a more open, flexible, AWS-based stack, minimizing disruption to high-volume daily data delivery. • Prototype and evaluate: Help build proofs-of-concept to benchmark new tools and patterns, and feed clear results back into the team’s adoption decisions. • Work with AI-assisted tooling: Use AI coding assistants and well-crafted prompts (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate pipeline development, SQL generation, debugging, testing, and documentation — always reviewing and validating the output before it ships. • Safeguard data quality and reliability: Implement testing, validation, monitoring, observability, and CI/CD practices so data stays accurate and pipelines stay healthy at scale. • Integrate across systems: Understand the systems upstream and downstream of your pipelines, from ingestion through to client-facing platforms, to ensure clean, end-to-end data delivery. • Collaborate across a distributed team: Partner with engineers in North America and India, participate in code reviews, and learn the nuances of the Advertising and Market Research domain.