Data Engineer, Robert Half

Robert Half

Location:
United States, Eagan

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are looking for an experienced Data Engineer to take on a leadership role in designing, deploying, and managing scalable AI platforms and cloud-based infrastructure. This is a contract position based in Eagan, Minnesota, with the potential for future conversion to a permanent role. The position requires a hybrid work schedule, with two in-office days per week (Tuesdays and Wednesdays).

Job Responsibility:

Lead the engineering and operations of AI platforms, including tools such as Dataiku, OpenAI, and Amazon Bedrock, ensuring optimal performance and scalability
automate deployments, upgrades, and scaling processes for AI services to meet evolving business needs
govern and secure enterprise use of cloud-based APIs, including managing key provisioning, access controls, and compliance with security standards
design and maintain cloud infrastructure for AI and data platforms, utilizing tools like Terraform and CloudFormation for infrastructure-as-code
collaborate with cross-functional teams to align architectural designs and ensure integrated operations across data platforms
monitor and optimize platform performance, availability, and cost efficiency across hosted services
implement secure configurations, audit logging, and encryption standards to meet regulatory and compliance requirements
partner with Data Science, Analytics, and DevOps teams to enable advanced AI use cases and drive innovation
provide support for platform incidents, performance tuning, and user onboarding processes
evaluate and integrate emerging technologies to enhance platform resiliency and AI capabilities.

Requirements:

At least 5 years of experience in data or platform engineering roles, with a strong focus on AI platform operations and cloud infrastructure
proven expertise in Python, Terraform, and other programming languages/frameworks for platform development and automation
hands-on experience designing and managing containerized environments for AI workloads, ensuring performance and security
proficiency in cloud technologies and infrastructure-as-code tools such as Terraform and CloudFormation
strong communication skills with the ability to collaborate effectively across IT and business teams
familiarity with monitoring tools and techniques for optimizing system performance and availability
solid understanding of security and compliance standards for AI and data platforms
demonstrated ability to evaluate and adopt emerging technologies to support enterprise AI initiatives.

What we offer:

Medical, vision, dental, and life and disability insurance
access to top jobs
competitive compensation and benefits
free online training
eligibility for 401(k) plan.

Additional Information:

Job Posted:
May 13, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer