Software Engineer

Evolent partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Software Engineer will build scalable healthcare-focused backend services, APIs, event-driven solutions, and data pipelines using Python, Azure, and Microsoft Fabric. The role also involves full software development lifecycle participation, system optimization, collaboration in an Agile environment, and maintaining high-quality, compliant solutions.

Responsibilities:

• Design, develop, test, and maintain data-driven software applications using Python and modern frameworks
• Build and optimize API-based solutions leveraging Python (FastAPI, Django, Flask) for scalable integrations
• Develop and maintain data pipelines and ETL workflows using tools such as Azure Data Factory, Fabric, PySpark, and related technologies
• Write clean, maintainable, and efficient code following best practices and coding standards
• Collaborate with product managers, designers, and other engineers to translate requirements into technical specifications
• Participate in code reviews to ensure code quality, functionality, and maintainability
• Troubleshoot, debug, and resolve technical issues and bugs in a timely manner
• Optimize applications for maximum performance, scalability, and reliability
• Contribute to continuous improvement of development processes, tools, and methodologies
• Stay up-to-date with emerging technologies and industry trends, applying them to improve our products and solutions

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience
• 3+ years of experience in software engineering or data engineering roles
• Strong proficiency in Python, including experience developing API-based solutions (FastAPI, Django, Flask)
• Hands-on experience with Azure data services (Azure Data Factory, Fabric, Synapse) and ETL tools (SSIS or similar) with experience writing stored procedures
• Experience with PySpark, Databricks, or other Spark-based frameworks for large-scale data processing
• Solid understanding of SQL, T-SQL, and experience writing stored procedures in SQL Server or similar relational databases
• Solid understanding of data modeling, data pipelines, and data transformation best practices
• Experience with cloud platforms (Azure preferred; AWS or GCP is a plus)
• Knowledge of containerization tools (Docker, Kubernetes) for deploying data solutions
• Familiarity with version control systems (Git) and collaborative coding workflows
• Ability to write unit and integration tests to ensure code quality and reliability
• Excellent problem-solving skills and ability to work independently and as part of a team
• Strong communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders
• Healthcare experience (especially in authorization/prior-authorization workflows) is a strong plus