Software Engineer - Data Science

Description

We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows.

Responsibilities:
Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently
Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards
Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches
Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations
Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience
Support software delivery best practices across the full development lifecycle, from code integration through production deployment
Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js
Integrate and support data platform components, including Snowflake, within broader engineering solutions

Requirements

At least 5 years of experience in platform engineering, DevOps, software engineering, or a closely related discipline
Strong hands-on programming background with the ability to build and support production-quality solutions
Proven success creating and supporting CI/CD pipelines in modern engineering environments
Experience working with cloud infrastructure, including EC2 and related cloud-native services
Background partnering with data science or machine learning teams in a technical support or engineering capacity
Familiarity with Snowflake and its use within data-driven application or platform environments
Practical experience with automation, infrastructure as code, and software deployment practices
Strong communication and collaboration skills when working across development, infrastructure, and data-focused teams

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