Senior Software Engineer

UnitedHealth Group•Eden Prairie, MN

10d•$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. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor’s degree
7 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
7 + years of experience in Python, Scala
5 + years of experience in Apache Spark (PySpark/Spark SQL)
5+ years of experience in SQL with designing complex data schemas and query performance optimization
3+ years of experience with DevOps automation with Terraform
3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)
3+ years of experience building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus
3+ years of experience building LLM integrations for workflow automation/business needs

Nice To Haves

Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline
Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies
Experience working with LLMs
Ability to independently troubleshoot and performance tune large scale enterprise systems
Excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts
Solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

Responsibilities

Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud
Develop highly scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale
Foster high-performance, collaborative technical work resulting in high-quality output
Understand new product capabilities and decompose the implementation into specific functional changes for verification
Gather and analyze data to aid in informed decision-making while providing detailed, realistic estimates
Interact skillfully with business stakeholders and third-party technical organizations
Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark
Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling
Write advanced / complex SQL with performance tuning and optimization
Build AI based solutions for solving business needs, process automations and improving operational efficiency
Identify ways to improve data reliability, data integrity, system efficiency and quality
Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
Mentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms