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# Data Engineer - Office-Based in Minnesota

- **Company:** Unitedhealth Group Inc
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Salary:** $72,800 - $130,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Github, Python (Programming Language), Performance Tuning, Release Management, Azure Data Lake, SQL Databases, Enterprise Data Management, Software Organization, Cloud Platform System, Azure Data Factory, Snowflake, Functional Dependencies, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466803145&tx=FJ7572FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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, * Experience supporting analytics, reporting, and AI/ML workloads

## Description

* 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

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.