About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.

Job Summary

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‑ship optimization.

This role bridges AI initiatives with physical infrastructure execution.

This is a backfill role with expanded scope and a modernized title aligned to AI‑driven infrastructure delivery.

Role Description

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‑ship 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

Behaviors and 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.

Skill Level Requirements

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

Preferred Experience

Experience supporting AI workloads tied to infrastructure, manufacturing, or data center environments
Familiarity with GenAI, LLM‑adjacent workflows, or analytics supporting deployment automation
Exposure to server, rack, or data center lifecycle data, from design through delivery and post‑deployment
Experience working in presales, services, or solution delivery organizations

Other Requirements

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

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.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

IDCS Data Engineer - AI & Infrastructure Enablement