Data Engineering Manager Internships
Data engineering manager internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data engineering managers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, with Olsson, BNY, and Skyworks Solutions among the employers posting roles now.
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Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Engineering Intern, Summer 2027 – San Franscisco, CA, US Why join Mastercard’s internship program?Mastercard's internship program offers more than hands-on work. It provides an opportunity to build skills, expand your network, and make a meaningful impact while working on projects that support business priorities. It provides an opportunity to build skills, expand your network, and make a meaningful impact while working on projects that support business priorities.
About the team:
This team is responsible for advancing Mastercard's data science capabilities across Commerce Media and Offers, translating data, analytics, and AI into scalable products and measurable business impact. For Mastercard Commerce Media, we develop audience, targeting, and measurement solutions that enable advertisers to reach consumers more effectively while adhering to Mastercard's privacy standards. For Offers, we drive optimization and personalization through rigorous experimentation, measurement, and modeling to improve offer relevance and incrementality. Beyond individual initiatives, the team helps shape product strategy by identifying new data assets, modeling opportunities, and long-term capabilities that support Mastercard's growth agenda.
What we’re looking for:
- Currently enrolled in a Bachelors or accelerated Masters degree with an anticipated graduation date between December 2027 and June 2028
- Previous internship in software development, data engineering, or a related technical field.
- Experience with Python through coursework, projects, internships, or personal initiatives.
- Familiarity with data engineering concepts and building data pipelines or workloads using cloud-based platforms such as AWS, Azure, or Databricks.
- Exposure to distributed data processing frameworks, with experience using PySpark considered a plus.
- Understanding of AI/ML workflows, data pipelines, or model deployment processes is a plus.
- Strong analytical, problem-solving, and collaboration skills with the ability to learn new technologies quickly.
- This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.
As an intern, you'll benefit from:
- Mentorship and coaching from experienced professionals and leaders
- Networking opportunities with fellow interns, employees, and senior leaders
- Professional development experiences focused on career growth and skill-building
- Exposure to innovative technologies and global business challenges
- Volunteer, community engagement, and team-building activities
- Many of our interns continue building their careers with Mastercard through full-time opportunities, early career programs, or future internships.
Please be sure to upload an unofficial copy of your school transcript when submitting your application.
Base Salary: $35-46/hr Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Engineering Intern, Summer 2027 – San Franscisco, CA, US Why join Mastercard’s internship program?Mastercard's internship program offers more than hands-on work. It provides an opportunity to build skills, expand your network, and make a meaningful impact while working on projects that support business priorities. It provides an opportunity to build skills, expand your network, and make a meaningful impact while working on projects that support business priorities.
About the team:
This team is responsible for advancing Mastercard's data science capabilities across Commerce Media and Offers, translating data, analytics, and AI into scalable products and measurable business impact. For Mastercard Commerce Media, we develop audience, targeting, and measurement solutions that enable advertisers to reach consumers more effectively while adhering to Mastercard's privacy standards. For Offers, we drive optimization and personalization through rigorous experimentation, measurement, and modeling to improve offer relevance and incrementality. Beyond individual initiatives, the team helps shape product strategy by identifying new data assets, modeling opportunities, and long-term capabilities that support Mastercard's growth agenda.
What we’re looking for:
- Currently enrolled in a Bachelors or accelerated Masters degree with an anticipated graduation date between December 2027 and June 2028
- Previous internship in software development, data engineering, or a related technical field.
- Experience with Python through coursework, projects, internships, or personal initiatives.
- Familiarity with data engineering concepts and building data pipelines or workloads using cloud-based platforms such as AWS, Azure, or Databricks.
- Exposure to distributed data processing frameworks, with experience using PySpark considered a plus.
- Understanding of AI/ML workflows, data pipelines, or model deployment processes is a plus.
- Strong analytical, problem-solving, and collaboration skills with the ability to learn new technologies quickly.
- This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.
As an intern, you'll benefit from:
- Mentorship and coaching from experienced professionals and leaders
- Networking opportunities with fellow interns, employees, and senior leaders
- Professional development experiences focused on career growth and skill-building
- Exposure to innovative technologies and global business challenges
- Volunteer, community engagement, and team-building activities
- Many of our interns continue building their careers with Mastercard through full-time opportunities, early career programs, or future internships.
Please be sure to upload an unofficial copy of your school transcript when submitting your application.
Base Salary: $35-46/hr Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Data Engineering Manager Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Data Engineering Manager Internship Search
Start your application earlier than you think
Large employers open summer data engineering manager internship applications the preceding fall, sometimes as early as August. Smaller companies and co-op programs post closer to their start dates. Checking listings in late summer and early fall puts you ahead of most candidates competing for the same structured cohort seats.
Build a portfolio before you apply
For data engineering manager intern candidates, documented project work matters more than a long resume. Publish two or three pipeline, architecture, or data modeling projects on GitHub with clear README files explaining your design decisions, the tools you used, and the outcomes. Recruiters want something they can open and assess, not just a list of skills.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside that campus activity reaches employers who never attend fairs and widens the pool you can realistically land in.
Practice the data engineering manager intern screen out loud
Intern interviews for data engineering manager roles typically include a technical screen covering data structures, SQL query design, and pipeline architecture scenarios. Practice answering these problems out loud while explaining your reasoning step by step. Interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured rotational and university programs early
Larger employers in technology and enterprise software run cohort-based or rotational data engineering internship programs specifically built to train people new to the field. These programs recruit early and fill in the first application wave. Identify the ones that align with your background and submit before general applications open.
Set your work-type filter before you start
On-site roles are 31% of the data engineering manager internships listed here. Decide what you can actually commit to before you search, then filter by location and work type so you spend time on roles you can take. Migrate Mate's work-type filter lets you switch between on-site, hybrid, and remote views without re-running your search.
Data Engineering Manager Internships: Frequently Asked Questions
How do I get a data engineering manager internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For data engineering manager candidates, a GitHub repository with documented pipeline projects or data architecture samples gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data engineering manager 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 data engineering manager interns is performance on real project work, available headcount on the team, and how early in your internship you signal interest. Position yourself by delivering on your assigned scope and asking your manager about the return-offer timeline without counting on a specific outcome.
When should I apply for data engineering manager internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, often opening applications in August or September for positions that start the following May or June. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly means you catch both cycles.
Are data engineering manager internships paid?
Most professional data engineering manager internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show the range where the employer chooses to disclose it. Unpaid arrangements are uncommon at established technology and enterprise firms but do appear occasionally at early-stage startups.
What should a data engineering manager internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that show the tools you used, data pipeline frameworks, orchestration tools, or SQL and Python work, and link directly to your GitHub repositories or published analyses so reviewers can verify the work. Add relevant coursework in data systems or distributed computing and keep the whole document to one page.
Are there remote data engineering manager internships?
Yes. Remote and hybrid roles make up 69% of the data engineering manager internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates nationwide, so apply early once you find a role that fits. Use the work-type filter to see only remote or hybrid listings and avoid sorting through positions you cannot take.
Can international students get data engineering manager 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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