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, Energy, and Manufacturing, with New York Life, AMD, and Cisco among the employers posting roles now.
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INTRODUCTION
As a student of the Commercial Intelligence team, you will be an active contributor to the finding, storing, and presenting key install base information to the sales and product management team.
Job Description
What you’ll do (Job Responsibilities)
- Build AI agents to review various databases with the goal of summarizing key information on GE Vernova’s install base.
- Verify the accuracy of the AI agents’ results.
- Upload the accurate data to GE Vernova’s existing Digital Install Base tool which tracks key details of GE Vernova’s install base.
What you’ll bring (Basic Qualifications)
- Current enrollment in undergrad or graduate degree, with preference for those in an engineering related degree.
- Previous course work or exposure to AI preferred but not required.
- Basic knowledge of Microsoft Excel and other Microsoft Office programs.
What will make you stand out (Desired Qualifications)
- Understanding of the US Energy Market
Consider any of these:
- You have a passion for working with AI and learning how to maximize their potential value.
- You are someone who brings passion and energy and willingness to solve problems without oversight.
- You have experience with various existing AI models or have a desire to learn and develop your skills using AI.
The pay for this position ranges from $1,000-2,000 weekly based on years of undergraduate/graduate field of study completed.
This position is also eligible for:
- Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
- Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help offset living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
- Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
- GE Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)
Inclusion
At GE Vernova, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.
This posting will be open until at least October 7, 2026.
ADDITIONAL INFORMATION
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Application Deadline: November 13, 2026
For candidates applying to a U.S. based position only:
This posting is expected to remain open for at least seven days after it was posted on October 07, 2026.
U.S. Internship roles are ineligible for GE Vernova benefits.
INTRODUCTION
As a student of the Commercial Intelligence team, you will be an active contributor to the finding, storing, and presenting key install base information to the sales and product management team.
Job Description
What you’ll do (Job Responsibilities)
- Build AI agents to review various databases with the goal of summarizing key information on GE Vernova’s install base.
- Verify the accuracy of the AI agents’ results.
- Upload the accurate data to GE Vernova’s existing Digital Install Base tool which tracks key details of GE Vernova’s install base.
What you’ll bring (Basic Qualifications)
- Current enrollment in undergrad or graduate degree, with preference for those in an engineering related degree.
- Previous course work or exposure to AI preferred but not required.
- Basic knowledge of Microsoft Excel and other Microsoft Office programs.
What will make you stand out (Desired Qualifications)
- Understanding of the US Energy Market
Consider any of these:
- You have a passion for working with AI and learning how to maximize their potential value.
- You are someone who brings passion and energy and willingness to solve problems without oversight.
- You have experience with various existing AI models or have a desire to learn and develop your skills using AI.
The pay for this position ranges from $1,000-2,000 weekly based on years of undergraduate/graduate field of study completed.
This position is also eligible for:
- Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
- Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help offset living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
- Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
- GE Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)
Inclusion
At GE Vernova, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.
This posting will be open until at least October 7, 2026.
ADDITIONAL INFORMATION
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Application Deadline: November 13, 2026
For candidates applying to a U.S. based position only:
This posting is expected to remain open for at least seven days after it was posted on October 07, 2026.
U.S. Internship roles are ineligible for GE Vernova benefits.
AI Data Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
- Energy
- Manufacturing
- Technology & Software
- Marketing & Advertising
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 24% 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 76% 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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