Software Engineer - Data Science
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
Qualifications:
• 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
Compensation
$51.46-$59.59 HourlyAbout Us
Technology Doesn't Change the World, People Do.®
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