AI Data Engineer Internships

Ai data engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and maintaining data pipelines, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Food & Beverage, Manufacturing, and Healthcare & Medical Services, with Campbell's, ABB, and Tesla among the employers posting roles now.

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Overview

Open roles6
Top stateNew Jersey
Top employerCampbell's
Top cityCamden, NJ
Work type50% Remote
Top industryFood

Showing 5 of 6+ AI Data Engineer Internships

ABB
AI & Data Scientist Intern - Fall 2026
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ABB
New 1m ago
AI & Data Scientist Intern - Fall 2026
ABB
Cary, North Carolina
Business Strategy
Corporate Development & M&A
$20 - $34/hr
10,000+

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Campbell's
Data Engineer, DA&AI Co-Op
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Campbell's
New 1m ago
Data Engineer, DA&AI Co-Op
Campbell's
Camden, New Jersey
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
10,000+

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Campbell's
Data Engineer – Agentic AI & ML Ops (Co-op)
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Campbell's
New 1m ago
Data Engineer – Agentic AI & ML Ops (Co-op)
Campbell's
Camden, New Jersey
Cloud Engineering
DevOps
IT Support
10,000+

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Tesla
Internship, Software Engineer, AI Data Infrastructure (Fall 2026)
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Tesla
New 1m ago
Internship, Software Engineer, AI Data Infrastructure (Fall 2026)
Tesla
Palo Alto, California
Data Analytics
Data Engineering
Data Science
On-Site
10,000+

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Boys Town
Artificial Intelligence & Machine Learning Intern
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Boys Town
New 1m ago
Artificial Intelligence & Machine Learning Intern
Boys Town
Omaha, Nebraska
Data Analytics
Data Science
Research & Academia
1,001-5,000

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AI Data Engineer Internship Market

Who's Hiring

Campbell's
Campbell's2 open roles
ABB
ABB1 open role
Tesla
Tesla1 open role

Top Industries Hiring

  • Food & Beverage
  • Manufacturing
  • Healthcare & Medical Services
  • Biotechnology & Pharmaceuticals

Tips for Your AI Data Engineer Internship Search

Apply in fall for the following summer

Large employers open summer ai data engineer internship applications as early as August and close them well before spring. If you wait until January, many structured cohorts are already full. Set a reminder at the start of each fall semester and treat the application cycle as a separate project with its own deadlines.

Build a portfolio before you apply

Hiring teams for ai data engineer interns want something to evaluate beyond a transcript. Build two or three documented projects on GitHub that show pipeline construction, data transformation, or SQL work with clear README files. A portfolio with working code and documented outcomes does more work than a resume with coursework listed alone.

Work your campus network and apply directly

Campus career fairs surface structured programs tied to your university, and career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts that don't recruit on campus. Working both channels widens the pool you reach and increases the chance of early contact with a recruiter.

Practice your technical screen out loud

Ai data engineer intern interviews typically include a technical screen covering SQL, Python, data structures, and sometimes system design for data pipelines. Practice answering problems out loud and explaining your reasoning step by step, because interviewers weigh how you think as much as whether you reach the right answer. Mock screens with a peer or recorded solo sessions both work.

Target structured internship programs early

Many larger companies run formal cohort or rotational programs built to train people new to data engineering, with dedicated mentorship, structured project rotations, and defined conversion reviews. These programs recruit earlier than general internship postings and fill fast, so identify the ones that fit your background and apply in the first wave of each cycle.

Set your work-type filter before you start

On-site roles are 50% of the ai data engineer internships listed here. Decide what you can commit to before you start applying, then filter by location and work type on Migrate Mate so you're not sorting through roles you can't take. Knowing your constraints early keeps your applications focused and your follow-up timeline realistic.

AI Data Engineer Internships: Frequently Asked Questions

How do I get an ai data engineer internship?

Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. For ai data engineer candidates, the concrete artifact that gives recruiters something to assess is a linked GitHub repository showing pipeline builds, SQL or Python work, or a data project with documented outcomes. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.

Can an ai data engineer internship turn into a full-time job?

Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for ai data engineer interns is consistent performance on real work, team headcount at offer time, and whether you communicate interest in returning early. Position for a return offer by treating the internship like a working audition, but don't count on it as a sure outcome.

When should I apply for ai data engineer internships?

Earlier than most students expect. Large employers recruit summer cohorts the preceding fall, so applications open as early as August or September. Smaller companies and co-op programs post closer to actual start dates, which means openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance before a cohort fills.

Are ai data engineer internships paid?

Most professional ai data engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid arrangements are uncommon in this field outside of nonprofit or research settings. If pay is not listed, it's reasonable to ask during the recruiter screen.

What should an ai data engineer internship resume include?

Lead with projects, not work history. Include two or three complete, documented projects that name the tools used and link to the work, for ai data engineer candidates, that means a linked GitHub repository with pipeline code, SQL scripts, or data transformation work with clear documentation. Add relevant coursework, keep the resume to one page, and put technical skills where a recruiter can find them in under ten seconds.

Are there remote ai data engineer internships?

Yes. Remote and hybrid roles make up 50% of the ai data engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from anywhere, so apply early and filter by work type to see them before headcount closes.

Can international students get ai data engineer internships?

Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.

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