Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
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Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
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Design, develop, and maintain end to end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata driven frameworks
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Develop and optimize high performance SQL queries, views, and stored procedures to support analytics, reporting, and provide guidance to analytics team members on effective and cost efficient usage
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Architect, Develop and support data integration processes including batch file ingestion and automated extracts
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Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
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Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design
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Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
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Continuously evaluate and improve data quality, monitoring, and operational efficiencies
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Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
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Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
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Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team
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Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation.
Required Qualifications:
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8+ years of hands on data engineering experience, with an emphasis on enterprise data warehousing and ETL architectures
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6+ years of ETL development experience designing and building pipelines, dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata driven designs
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6+ years of experience using Snowflake database including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities
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6+ years of experience with GitHub version control systems including code merges and cross environment deployments using CD/CI pipelines
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6+ years of Python experience, particularly for data processing, orchestration, or validation workflows
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3+ years of experience designing or consuming APIs and service based integrations (REST) within Snowflake or ADF based workflows
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3+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on Azure platform
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Experience processing both structured and semi structured data (e.g., fixed width files, delimited files, JSON, XML)
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Demonstrated ability to work independently, manage multiple priorities, and adapt to evolving business and technology requirements
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Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures, data anomalies, and performance bottlenecks
Preferred Qualifications:
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.Net development experience
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Hands‑on expertise in Power BI, including:
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DAX
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Semantic model design
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Performance tuning
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.
