Overview
On Site
USD 120,000.00 per year
Full Time
Skills
Payments
Partnership
Employment Authorization
Authorization
Financial Software
Collaboration
Advertising
Network
Innovation
Spring Framework
Python
PySpark
Machine Learning (ML)
Microsoft Office
Communication
Law
Recruiting
Reporting
Information Security
Insurance
Life Insurance
SAFE
Job Details
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 Engineer I, Launch Program 2026 - San Francsico, CA
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 entry level candidates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.
Overview
Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.
About the Team
Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a fast-paced environment where innovation and collaboration drive success? Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers.
Launch Program
The Launch program is a development program that is supplemental to the role and is designed to help you transition from being a student to being a Mastercard employee. In this program, you will participate in:
- Four-day orientation focused on getting to know Mastercard, building your skills, and be a force for good (Mastercard's culture)
- Professional skills workshops
- Launch Innovation Week
- Social impact - pro bono team challenge
- Global Volunteer Challenge
Qualifications
- Currently enrolled in a bachelor's degree graduating Spring 2026.
- Strong, hands-on experience with both Python and PySpark
- Previous internship experience
- Familiarity with classification and verifying Machine Learning Models
- Familiarity with AdTech is a plus
- Proficient in Microsoft Office applications
- Excellent communication skills, ability and willingness to tackle complex problems
Salary: $120,000 annual
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 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:
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 Engineer I, Launch Program 2026 - San Francsico, CA
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 entry level candidates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.
Overview
Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.
About the Team
Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a fast-paced environment where innovation and collaboration drive success? Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers.
Launch Program
The Launch program is a development program that is supplemental to the role and is designed to help you transition from being a student to being a Mastercard employee. In this program, you will participate in:
- Four-day orientation focused on getting to know Mastercard, building your skills, and be a force for good (Mastercard's culture)
- Professional skills workshops
- Launch Innovation Week
- Social impact - pro bono team challenge
- Global Volunteer Challenge
Qualifications
- Currently enrolled in a bachelor's degree graduating Spring 2026.
- Strong, hands-on experience with both Python and PySpark
- Previous internship experience
- Familiarity with classification and verifying Machine Learning Models
- Familiarity with AdTech is a plus
- Proficient in Microsoft Office applications
- Excellent communication skills, ability and willingness to tackle complex problems
Salary: $120,000 annual
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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.