Senior Cloud Data Engineer - Remote
About The Position
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. The HCE Data Management team is responsible for the design, development, operation, and optimization of enterprise data platforms built on Snowflake and Azure Cloud Services. As a Senior Cloud Data Engineer, you will play a key role in delivering scalable, high-performance data solutions that support analytics, AI, and business-critical workloads across the organization. This is a hands-on engineering role focused on building, optimizing, and operating cloud-native data pipelines and platforms. 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.
Requirements
- Bachelor’s degree (or equivalent experience)
- 5+ years of experience with modern relational databases and SQL optimization
- 5+ years of experience as a Data Engineer building production data solutions
- 3+ years of experience with Azure (Data Factory, Databricks, App Services, Functions)
- 3+ years of experience with Python development
- 3+ years of experience building enterprise data solutions in cloud environments (Azure/AWS/GCP)
- 3+ years of hands-on experience with Snowflake development
Nice To Haves
- Experience building cloud-native web services on Azure
- Experience developing RESTful services (.NET, Java, or similar)
- Experience working in Agile / SDLC environments
- Solid understanding of data warehousing design (STAR / Snowflake schemas)
- Familiarity with DevOps practices (CI/CD, GitHub, automation)
- Exposure to AKS (Azure Kubernetes Service) and advanced cloud architectures
- Solid problem-solving skills and ability to work on complex, ambiguous challenges
- Hands-on mindset with a focus on execution and delivery
- Passion for optimizing performance, scalability, and cost in cloud environments
- Ability to collaborate and communicate effectively across technical and business teams
Responsibilities
- Design, develop, and implement scalable data solutions for complex business and technical challenges
- Build and maintain ETL/ELT pipelines integrating data across multiple enterprise systems
- Develop, test, deploy, and support high-quality data engineering solutions aligned to enterprise standards
- Collaborate with cross-functional teams to support architecture, planning, and delivery of data initiatives
- Identify and drive improvements in system performance, data quality, and delivery methodologies
- Act as a technical leader and subject matter expert (SME) across development, QA, and production environments
- Mentor and guide junior engineers while promoting engineering best practices
- Support platform reliability, incident resolution, and continuous improvement initiatives
- Lead Snowflake migration and optimization efforts, including setup, data movement, and performance tuning
- Stabilize and enhance enterprise data environments (e.g., OCDUL) in collaboration with upstream and downstream teams
- Optimize Azure Databricks and Azure Data Factory pipelines for performance, scalability, and cost efficiency
- Support Azure-hosted services powering analytics and NLP workloads
- Troubleshoot complex cloud and data platform issues and implement durable, production-grade solutions
- Identify and drive cloud cost optimization opportunities across Azure and Snowflake
- Improve platform resiliency, observability, and operational maturity using cloud-native best practices
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
Senior
Education Level
Associate degree
