Senior Software Engineer

UnitedHealth Group•Las Vegas, NV

3d•$91,700 - $163,700•Remote

About The Position

As a Sr. Software Engineer at Optum Technology, you will be part of an innovative team dedicated to designing, developing, and maintaining scalable data pipelines, advanced backend services, and cloud-native software applications. In this role, you will build robust data ingestion, transformation, and analytical solutions using C#/.NET and SQL across Microsoft Azure and AWS platforms. You will also collaborate with cross-functional teams to translate cutting-edge technological advancements and model capabilities into scalable, production-ready healthcare solutions, embedding ethical standards, performance optimization, and governance throughout the engineering lifecycle. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

5+ years of professional experience in software engineering and/or data engineering roles
3+ years of experience with C# and .NET Framework / .NET Core for backend application development
3+ years of experience with relational databases, T-SQL, query optimization, and database design
2+ years of hands-on experience designing and deploying cloud solutions using Microsoft Azure (e.g., Azure Data Factory, Azure SQL, Synapse, Blob Storage) or AWS (e.g., S3, Redshift, Lambda, Glue)

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, OR 4+ years of equivalent software engineering experience
Professional certifications in cloud platforms (e.g., Microsoft Certified: Azure Data Engineer Associate, AWS Certified Solutions Architect)
Experience working with Big Data technologies (e.g., Apache Spark, Databricks)
Familiarity with containerization and orchestration platforms (e.g., Docker, Kubernetes)
Exposure to data visualization and analytics tools (e.g., Power BI, Tableau)
Demonstrated experience with data pipeline development, ETL/ELT processes, and data modeling techniques
Experience with RESTful APIs, microservices architecture, version control (e.g., Git), and CI/CD pipelines
Practical experience researching, developing, or deploying machine learning/AI models into production systems

Responsibilities

Design, develop, and deploy advanced technological solutions and model capabilities to address complex business challenges with an emphasis on responsible and ethical standards
Collaborate with research, engineering, and product teams to translate cutting-edge advancements into scalable, production-ready capabilities that can be reused across the enterprise
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and backend software applications using C# and .NET frameworks
Build and optimize data ingestion, transformation, and storage solutions leveraging SQL and cloud platforms (e.g., Azure Data Factory, Azure SQL, Synapse, AWS S3, Redshift, Lambda)
Develop and manage relational and non-relational databases, implementing efficient SQL queries, stored procedures, and data models to ensure optimal performance, data integrity, and security
Develop RESTful APIs and microservices using .NET frameworks to support application and seamless system integration
Implement CI/CD pipelines, automated testing, and DevOps best practices for cloud deployment and system monitoring
Evaluate emerging technology trends and leverage enterprise-approved tools to streamline workflows, automate tasks, and drive continuous improvement
Uphold data governance, quality, security compliance, and ethical principles throughout the development lifecycle