SHI International

IDCS Data Engineer - AI & Infrastructure Enablement

Piscataway, NJ USA

Sponsorship not specified$120k-$145kDetected 27 days ago

PythonSQLMachine LearningData EngineeringLLMsLogisticsLeadershipCommunicationCollaborationProblem SolvingAdaptabilityDemand Planning

About the role

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.
Integrate data across enterprise systems including configuration tools, inventory systems, manufacturing data, logistics, and deployment tracking

Can drive strategic transformations, inspire others to embrace change, and foster a culture of continuous adaptation
Can lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose
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.
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
Partner with presales, solutions engineering, IDCS, and operations teams to ensure data continuity from design through deployment and post‑ship support
Develop dashboards and analysis that track deployment progress, risks, SLAs, and operational performance
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

Proficiency in Python and SQL
Ability to translate presales and operational needs into scalable data solutions
Completed Bachelor's Degree in Computer Science or a related field, or relevant work experience

Skill Level Requirements
Strong experience in data engineering fundamentals, including ETL/ELT pipelines, data modeling, and cloud‑based data platforms

The estimated annual pay range for this position is $120,000 - $145,000 which includes a base salary and bonus.

may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Support AI initiatives by preparing and curating data for machine learning, GenAI, and decision‑support use cases

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.
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:
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.
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

This listing is sourced directly from SHI International's careers page and normalized into a canonical job model.