Senior Data Engineer (Analytics)

UnitedHealth Group•Eden Prairie, MN

9h•$91,700 - $163,700•Remote

About The Position

As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems that power critical healthcare platforms. In this role, you will design and deliver modern data and AI-powered solutions, platforms, and automations for enterprise scale. You will work with state-of-the-art technologies such as Python, Spark, Scala, and Kafka to build scalable, high-performance data processing pipelines and apply data warehousing and modeling best practices. You will play a key role in driving innovation by identifying opportunities to streamline workflows, automate tasks, and leverage advanced tools to address complex business challenges. Focus on KTLO activities, including vulnerability remediation, tool and version upgrades, data security, and platform stability. Additionally, support Azure Data Factory pipelines, Databricks workloads, and cloud components such as Blob Storage and AzCopy. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. 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.

Requirements

5+ years of experience in Data Engineering, Software Engineering, or a related field
3+ years of experience with Python, SQL, Spark/PySpark, and Databricks
3+ years of experience with data warehousing, dimensional modeling, and database design
2+ years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services
2+ years of experience with Apache Kafka or streaming technologies
2+ years of production support and KTLO experience, including troubleshooting and platform maintenance
1+ years of experience building data pipelines using Databricks Medallion Architecture
1+ years of experience with CI/CD, and automation practices

Nice To Haves

Bachelor's degree in Computer Science, Information Systems, or related field
Experience with Azure cloud technologies
Experience with Airflow for workflow orchestration
Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code
Experience with Power BI, Tableau, or Looker
Experience working with healthcare data and HIPAA-regulated environments
Experience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or Snowflake
Strong analytical, problem-solving, and communication skills

Responsibilities

Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks
Build and support batch and streaming data solutions using Kafka and Azure Data Factory
Support KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliability
Implement automation and AI-enabled solutions to improve engineering efficiency and operational processes
Optimize data models, queries, and large-scale data processing workloads
Collaborate with business and technology partners to deliver high-quality data solutions
Ensure compliance with security, governance, and healthcare data privacy requirements
Contribute to CI/CD, monitoring, and cloud modernization initiatives
Apply and promote data warehousing, data modeling, and database design best practices