Data Engineer (AI) Co-op - Spring 2026

ViziRecruiter,LLC.

Quincy (MA)

Hybrid

USD 20,664 - 34,440

Full time

14 days+

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Benefits offered by this job

Competitive pay
Mentoring opportunities
Career development tools

Job summary

A leading grocery retailer is offering a paid Co-op program for students pursuing degrees in Computer Science, Data Analytics, or Engineering. This 6-month position provides exposure to innovative projects, mentorship for career development, and the opportunity to work in a collaborative environment. Applicants should possess strong communication skills and a desire to learn through impactful project work.

Qualifications

  • Working towards a degree in Computer Science, Data Analytics, or Engineering.
  • Exposure and training with Azure AI, ChatGPT AI, or experience developing AI agents.
  • Previous Co-op or Internship experience is a plus.

Responsibilities

  • Participate in a 6-month Co-op session with competitive pay.
  • Work on impactful projects to develop skills and knowledge.
  • Receive mentoring in obtaining full-time positions within ADUSA.

Skills

Communication skills
Collaboration skills
SQL
Experience with Azure AI
Python

Education

Currently enrolled in a bachelor's or master's degree program

Tools

AI development tools
APIs

Job description

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Co-op Program Overview:

Get an insider view of the fast-changing grocery retail industry while developing relevant business, technical and leadership skills geared towards enhancing your career. This paid Co-op experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities.

Applicants must be currently enrolled in a bachelor's or master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from January 20, 2026, through June 5, 2026. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date.

Responsibilities
  • Approximate 6-month Co-op session with competitive pay
  • Impactful project work to develop your skills/knowledge
  • Career assistance & mentoring in obtaining full time positions within ADUSA
  • Leadership speaker sessions and development activities
  • One-on-one mentoring in your area of interest
  • Involvement in group community service events
  • Networking and professional engagement opportunities
  • Access to online career development tools and resources
  • Opportunity to present project work to company leaders and gain executive visibility
Requirements
  • Working towards a degree in Computer Science, Data Analytics, and/or Engineering
  • Exposure and training with Azure AI, ChatGPT AI, or experience developing AI agents
  • Experience writing APIs or interactive code with AI
  • SQL experience
  • Python is a plus
  • Previous Co-op or Internship experience is a plus
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
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