IDCS Data Engineer - AI & Infrastructure Enablement

Posted 12 Days Ago
Piscataway, NJ, USA
In-Office
120K-145K Annually
Senior level
Information Technology • Software
The Role
Build and maintain data pipelines, prepare and curate data for ML/GenAI, support presales solution design and BOM/capacity planning, integrate enterprise systems, develop dashboards for deployment tracking and performance, and document standards and automation for scalable AI-enabled infrastructure delivery.
Summary Generated by Built In
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 

Skills Required

  • ETL/ELT pipeline development and maintenance
  • Data modeling and ensuring data quality, reliability, and traceability
  • Experience with cloud-based data platforms
  • Hands-on experience preparing and orchestrating data for AI or analytics initiatives
  • Proficiency in Python
  • Proficiency in 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
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • Ability to travel up to 10%
  • Experience supporting AI workloads tied to infrastructure, manufacturing, or data center environments
  • Familiarity with GenAI or LLM-adjacent workflows
  • 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

SHI International Corp. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SHI International Corp. and has not been reviewed or approved by SHI International Corp..

  • Healthcare Strength Feedback suggests the medical, dental, vision, and pharmacy offerings are comprehensive, with multiple plan options, telemedicine access, and solid ancillary coverage.
  • Wellbeing & Lifestyle Benefits Feedback suggests onsite fitness centers, wellness programs that can reduce premiums, and discounts/purchase programs provide meaningful lifestyle support.
  • Strong & Reliable Incentives Feedback suggests commission structures in sales and premium totals in certain technical presales roles create notable upside potential for strong performers.

SHI International Corp. Insights

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The Company
HQ: Somerset, NJ
7,309 Employees

What We Do

Think of SHI as your personal technology concierge. We connect your team with the IT solutions and services you need to support your organizational growth and employee experience. Whether you’re building a modern hybrid workplace, defending against an evolving threat landscape, making the cloud work harder for you, or searching for ways to optimize your software portfolio, our friendly 6,000-person team is ready to solve what’s next for your organization. Our in-house data center integration, device configuration, and deployment and license advisory services, plus our top-tier status with vendors and flexible financing make life simpler for IT decision makers. Execute your IT vision with stress-free, scalable solutions you – and your people – will love. SHI is proud to be the largest Minority/Woman Owned Business Enterprise (MWBE) in the United States.

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