IDCS Data Engineer - AI & Infrastructure Enablement

About the role

This role supports AI development and server rack deployment lifecycle activities, spanning presales design through post-deployment operations. The focus is on building and maintaining data pipelines, models, and automation that enable AI solutions, rack-level configurations, demand planning, deployment tracking, and post-shipping optimization. This role bridges AI initiatives with physical infrastructure execution.

Responsibilities

• Build and maintain data pipelines that support AI development, analytics, and automation across server and rack deployments
• Enable presales activities by supporting data models for solution design, BOM creation, capacity planning, and scenario analysis
• Support AI initiatives by preparing and curating data for machine learning, GenAI, and decision-support use cases
• Partner with presales, solutions engineering, IDCS, and operations teams to ensure data continuity from design through deployment and post-shipping support
• Integrate data across enterprise systems including configuration tools, inventory systems, manufacturing data, logistics, and deployment tracking
• Develop dashboards and analysis that track deployment progress, risks, SLAs, and operational performance
• Ensure data quality, reliability, and traceability across the full lifecycle of AI and infrastructure projects
• Document standards, repeatable data patterns, and automation to scale AI-enabled infrastructure delivery

Qualifications

• Strong experience in data engineering fundamentals, including ETL/ELT pipelines, data modeling, and cloud-based data platforms
• Hands-on experience supporting AI or analytics initiatives through data preparation and orchestration
• Proficiency in Python and SQL
• Experience working with structured and semi-structured data across operational and engineering systems
• Ability to translate presales and operational needs into scalable data solutions

Skills

• Communication: Lead and model exceptional communication at all levels of the organization, develop and implement communication strategies, and coach others to improve their communication skills
• Adaptability: Drive strategic transformations, inspire others to embrace change, and foster a culture of continuous adaptation
• Collaboration: Lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose
• Time-Management: Problem Solving: Lead strategic problem-solving initiatives, inspire others to improve their problem-solving skills, and foster a culture of proactive problem-solving
• Initiative: Lead strategic and complex initiatives, inspire others to take initiative, and foster a culture of continuous improvement
• Analytical Thinking: Lead and innovate in the application of analytical thinking, solve complex problems, influence others, and contribute to best practices

Behavioral Competencies

• Communication: Can lead and model exceptional communication at all levels of the organization, develop and implement communication strategies, and coach others to improve their communication skills
• Adaptability: Can drive strategic transformations, inspire others to embrace change, and foster a culture of continuous adaptation
• Collaboration: Can lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose
• Time-Management: Problem Solving: Can lead strategic problem-solving initiatives, inspire others to improve their problem-solving skills, and foster a culture of proactive problem-solving
• Initiative: Can lead strategic and complex initiatives, inspire others to take initiative, and foster a culture of continuous improvement
• Analytical Thinking: Can lead and innovate in the application of analytical thinking, solve complex problems, influence others, and contribute to best practices

Requirements

• Completed Bachelor’s Degree in Computer Science or a related field, or relevant work experience
• Ability to travel 10%

Benefits

• The estimated annual pay range for this position is $120,000 - $145,000 which includes a base salary and bonus.
• The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.
• Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.