Data Engineering Intern, Summer 2027 – San Franscisco, CA, US

Mastercard Inc.; San Francisco (CA); On-site; USD 48,000 - 63,000; Full time

Benefits offered by this job

Mentorship

Networking

Professional development

Exposure to innovative technologies

Team-building activities

Job summary

Mastercard Inc. is offering a Data Engineering Intern position for Summer 2027 in San Francisco, CA.

The program emphasizes hands-on project work, mentorship, and professional development while building scalable data products for Commerce Media and Offers teams. Ideal candidates are pursuing a Bachelor's or accelerated Master’s with expected graduation between late 2027 and mid-2028 and have coursework or experience in Python, data pipelines, and cloud platforms like AWS, Azure, or Databricks.

Qualifications

• Currently enrolled in a Bachelor's or accelerated Master's 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.

Skills

Python

Analytical thinking

Collaboration

Learning agility

Education

Bachelor's degree

Accelerated Master’s

Tools

Databricks

AWS

Azure

PySpark

Job description

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.

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 [e-mail] 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.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job‐related knowledge, skills, and experience.

Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on‑site fitness facilities; eligibility for tuition reimbursement; and many more.

Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on‑site fitness facilities in some locations.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.