Platform Engineer

Description Platform Engineer - Data Science Platform 13 Week Contract to Hire Onsite Hybrid: Columbus, OH or Dallas, TX Pay: Available on W2 Job Summary We are seeking an experienced Platform Engineer to join a growing Platform Engineering team responsible for supporting and evolving a modern Data Science platform.

This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale.

The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.

Key Responsibilities + Support and maintain ongoing Data Science infrastructure operations + Design, build, and deploy AWS environments using automated CI/CD pipelines + Manage and scale large, secure cloud environments to support current and future Data Science initiatives + Implement, own, and improve the image management lifecycle process + Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform + Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps) + Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform + Develop scripts and applications using programming languages such as Python + Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL + Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads + Respond to requests from development and business users, removing technical roadblocks + Manage secured infrastructure environments, applying security controls and guardrails + Identify, remediate, and track infrastructure vulnerabilities within defined SLAs + Maintain audit logs and support compliance-related needs + Perform system upgrades, patching, and provide on-call support as required + Conduct root cause analysis and knowledge transfer sessions with internal teams + Collaborate closely with Network, Database, Infrastructure, and Architecture teams to align on platform strategy and delivery Requirements Basic Qualifications + Bachelor's degree in Computer Science or a related field, or equivalent practical experience + 2+ years of experience supporting Data Science infrastructure + 2+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms + 2+ years of working knowledge with the following technologies: + Kubernetes + AWS services such as SageMaker, Glue, Lambda, Athena + CI/CD tools such as Azure DevOps + Infrastructure as Code tools such as Terraform + Container technologies including Docker and Amazon ECR + Security tools such as AQUA and Kenna + Experience producing technical documentation and written solutions Preferred Qualifications + AWS, Terraform, or Kubernetes certifications (e.g., CKA) + Familiarity with technical service management and product lifecycle maintenance + Experience with scripting and programming languages such as Python and shell scripting + Strong working knowledge of database technologies including Athena, Oracle, and MySQL + Advanced experience with CI/CD and IaC tools, particularly Azure DevOps and Terraform Technology Doesn't Change the World, People Do.® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies.

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All applicants applying for U.S.

job openings must be legally authorized to work in the United States.

Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance.

Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan.

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