Data Engineer - Office-Based in Minnesota
About The Position
The Reporting Analytics and Data (RAD) team is seeking a Data Engineer to help design, build, and support modern data solutions across UnitedHealth Group’s Enterprise Services organization. In this role, you will own development of scalable ETL pipelines, data repositories, and integration patterns that bring together information from multiple enterprise systems and make it available for analytics, reporting, automation, and business decision-making. You will partner closely with business and technology stakeholders to understand data needs, translate requirements into durable engineering solutions, and ensure data is reliable, accessible, and structured for long-term use. This role is ideal for someone who enjoys hands-on data engineering while also promoting best practices and helping mature the team’s data platform capabilities. If you live near Eden Prairie, MN, you will enjoy the flexibility of an office-based/remote role as you take on some tough challenges.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field
- 3+ years of experience in data engineering, analytics, or data platform development
- 3+ years of experience with SQL/Snowflake, Python, data modeling, ETL/ELT development, data integration, performance optimization, and data pipeline orchestration
- 1+ years of demonstrated experience designing, building, and managing large-scale cloud-based data platforms using technologies such as Snowflake, Azure Data Factory (ADF), Azure Data Lake, Databricks, and enterprise data warehousing solutions
- 1+ years of experience implementing modern software development practices, including source control and CI/CD using GitHub, automated testing, code reviews, release management, and infrastructure-as-code methodologies within data engineering environments
Nice To Haves
- Experience supporting analytics, reporting, and AI/ML workloads
Responsibilities
- Direct the design, development, and support of scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and data warehousing solutions to deliver trusted, high-quality data for analytics and operational reporting
- Establish and enforce data governance standards, data quality controls, platform reliability practices, and operational processes to ensure secure, compliant, and dependable data assets across the organization
- Collaborate with business stakeholders, analytics teams, architects, and product leaders to prioritize initiatives, resolve cross-functional dependencies, and translate business requirements into scalable data and analytics solutions
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
