Data Engineer - Office-Based in Minnesota
About The Position
The Reporting Analytics and Data (RAD) team is seeking a Data Engineer to design, build, and support modern data solutions across UnitedHealth Group’s Enterprise Services organization. The role develops scalable ETL pipelines, data repositories, and integration patterns that combine information from enterprise systems and make it available for analytics, reporting, automation, and business decision-making. The engineer works with business and technology stakeholders to understand data needs, translate requirements into durable solutions, and ensure data is reliable, accessible, and structured for long-term use. The role also promotes engineering best practices and helps mature the team’s data platform capabilities. It is described as office-based/remote for candidates living near Eden Prairie, Minnesota. All telecommuters must follow UnitedHealth Group’s Telecommuter Policy.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field.
- At least 3 years of experience in data engineering, analytics, or data platform development.
- At least 3 years of experience with SQL/Snowflake, Python, data modeling, ETL/ELT development, data integration, performance optimization, and data pipeline orchestration.
- At least 1 year 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.
- At least 1 year of experience implementing modern software development practices in data engineering, including source control and CI/CD using GitHub, automated testing, code reviews, release management, and infrastructure-as-code methodologies.
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 for analytics and operational reporting.
- Establish and enforce data governance standards, data quality controls, platform reliability practices, and operational processes to maintain secure, compliant, dependable data assets.
- 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, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase.
- 401(k) contribution, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
