Software Engineer

Evolent

2d•$90,000 - $115,000•Remote

About The Position

Evolent is seeking a Software Engineer to join an Agile team building healthcare-focused backend software solutions that support analytics, integration, and operational workflows across the healthcare ecosystem. In this role, you will design and develop scalable backend services using Python and FastAPI, and build event-driven and serverless solutions leveraging Microsoft Azure services such as Azure Functions and Azure Event Hub. You will also develop and maintain data ingestion pipelines that load healthcare data into Microsoft Fabric to support enterprise reporting and analytics needs. Team members contribute across the full software development lifecycle and are expected to wear multiple hats. You will participate in architecture and design discussions, author and review design documentation, and implement high-quality, maintainable code. You will collaborate closely with product owners, QA partners, and fellow software engineers in an Agile environment, contributing to sprint planning, stand-ups, retrospectives, and iterative delivery. As needed, you will assist with testing, debugging, and validation to ensure solutions meet quality, performance, and regulatory expectations. The role includes modernizing and optimizing existing systems, including performance tuning legacy SQL stored procedures to improve efficiency and scalability. You will use GitHub workflows to support CI/CD pipelines, code reviews, and automated quality checks, and write unit tests to improve code coverage and maintainability. The ideal candidate is comfortable working in a fast-paced healthcare technology environment, brings strong backend engineering fundamentals, and actively leverages Copilot and other AI-assisted tools to solve complex problems and improve developer productivity.

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.
High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.

Nice To Haves

Healthcare experience (especially in authorization/prior-authorization workflows) is a strong plus.

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.