Senior Data Engineer

UnitedHealth Group•Minnetonka, MN

23h•$91,700 - $163,700•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. We are seeking a Senior Data Engineer to join our team in building, securing, and optimizing end-to-end data analytics, reporting, and AI-powered solutions. In this role, you will leverage technologies such as Apache Airflow, Databricks, Snowflake, Power BI, and modern AI capabilities to build scalable data platforms and automate enterprise workflows on Azure. You will also be responsible for securing cloud environments using Azure Networking configurations, managing elevated access through Azure Privileged Identity Management (PIM), and remediating vulnerabilities across application and infrastructure layers while driving responsible innovation across cross-functional teams. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

6+ years of data engineering experience with emphasis on cloud data warehousing, ETL orchestration, and analytics hosting
3+ years of hands-on experience designing and managing Azure cloud infrastructure (e.g., Azure Synapse, Azure Data Factory, Azure Data Lake, Azure SQL, Key Vault, Virtual Networks)
3+ years of hands-on experience building data pipelines and workflows using Apache Airflow and Snowflake
3+ years of hands-on experience with Azure cloud infrastructure, including Azure Networking (VNets, NSGs, Private Endpoints) and Azure Privileged Identity Management (PIM) / Entra ID
1+ years of experience building and supporting data models for reporting and business intelligence platforms such as Power BI
1+ years of experience remediating infrastructure, network, and application security vulnerabilities in enterprise cloud environments

Nice To Haves

Bachelor’s degree or 6+ years of equivalent software or data engineering experience in lieu of a degree
1+ years of experience designing, building, or deploying AI/ML model integrations and AI-assisted data tools within cloud data solutions
3+ years of hands-on experience building data pipelines and workflows using Databricks
Experience integrating generative AI, LLM pipelines, or machine learning feature stores into cloud data architectures
Experience developing custom visual reports and dashboards using Power BI integrated with Snowflake or Databricks
Azure Certifications (e.g., Azure Data Engineer Associate, Azure Network Engineer Associate, or Azure Security Engineer Associate)
Industry certifications in Snowflake or Databricks (e.g., Snowflake SnowPro Core, Databricks Certified Data Engineer)
Advanced expertise in infrastructure as code (IaC) tools such as Terraform or ARM templates for automated deployment of networking and identity resources

Responsibilities

Architect, build, and maintain data pipelines and analytics solutions using Apache Airflow, Databricks, Snowflake, and Power BI on Azure cloud infrastructure
Design, develop, and deploy AI-powered solutions and data integrations to address complex business challenges with an emphasis on responsible AI practices
Leverage enterprise-approved AI tools and emerging technologies to streamline workflows, automate data engineering tasks, and drive continuous improvement
Implement and manage secure Azure Networking components (VNets, Private Endpoints, NSGs) to protect data solutions and control network traffic
Enforce least-privilege security models and access control governance utilizing Azure Privileged Identity Management (PIM) and role-based access controls (RBAC)
Identify, investigate, and remediate security vulnerabilities across infrastructure, networking, and application components in alignment with compliance guidelines
Evaluate emerging technology and AI trends to inform solution design, platform architecture, and strategic data innovation
Collaborate with delivery teams and shared infrastructure operations to streamline data platform deployments, monitoring, and operational support
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI