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# Cloud Data Platform Engineer - Remote

- **Company:** Unitedhealth Group Inc
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Clinical Data Repository, Cloud Engineering, System Configuration, Continuous Integration, Information Engineering, Data Governance, Data Systems, DevOps, Software Tools, Cloud Services, Azure Data Lake, Cloud Platform System, Azure Data Factory, System Availability, Delivery Pipeline, Snowflake, Containerization, Terraform, Docker, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_uhcg2-100131895408

## About the Role

Growing together.** We are seeking an experienced Cloud Data Platform Engineer with 5+ years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks and Snowflake.
The ideal candidate will also have a solid background in configuring and implementing DevOps pipelines using GitActions CI/CD and Terraform.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. **Primary Responsibilities:** + Design, implement, and manage Cloud Data Platform infrastructure for Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), LogicApps, Azure Data Lake Storage Gen2 (ADLS Gen2), and Blob Storage + Configure and optimize Snowflake data warehouse solutions to meet business requirements + Develop and maintain CI/CD pipelines using GitActions to ensure seamless integration and deployment processes + Utilize Terraform for infrastructure as code (IaC) to automate and manage cloud resources + Collaborate with cross-functional teams to understand data requirements and deliver scalable, reliable cloud solutions + Monitor and troubleshoot Cloud Data Platform infrastructure to ensure high availability and performance + Implement security best practices to safeguard data and cloud resources 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:** + 5+ years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks (ADF, SHIR, LogicApps, ADLS Gen2, Blob Storage) + 3+ years of hands-on experience in Snowflake configuration and optimization + 3+ years of hands-on experience with DevOps tools and practices, including GitActions CI/CD and Terraform + 2+ years of experience with setting up, configuring, and optimizing Databricks for data engineering and analytics workloads + Hands-on experience with AI-enabled data engineering tools + Experience working within Agile delivery methodologies + Solid understanding of cloud architecture and infrastructure as code (IaC) principles + Proven excellent analytical,
problem-solving, communication, and stakeholder management skills + Demonstrated ability to work independently, manage ambiguity, and deliver high-quality solutions + Demonstrated ability to work within tight deadlines and effectively raise critical issues + Ability to travel, if needed, based on business needs and permissible travel conditions **Preferred Qualifications:** + Experience with other cloud platforms and data solutions + Experience working with healthcare claims, member, enrollment, or clinical data + Knowledge of data governance and compliance standards + Familiarity with containerization technologies such as Docker and Kubernetes *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.