Data Engineer I, Launch Program 2027 – Arlington, VA, US

Mastercard•Arlington, VA

10d•Onsite

About The Position

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. Why join Mastercard’s Launch Program? Throughout this 18-month program, you'll develop the ability to connect ideas, people, and markets to drive commercial impact. Through hands-on experiences, cross-functional projects, and structured learning opportunities, you'll gain exposure to multiple areas of Mastercard's business while building broad business acumen and a global perspective. You'll collaborate with teams across functions, contribute to strategic initiatives, and strengthen the skills needed to solve complex business challenges. This experience will help you build a well-rounded commercial mindset and prepare you for a variety of career paths across Mastercard's global organization. About the team B&MI Data Foundations is an engineering pillar that builds and operates the shared data services, platforms and tooling underpinning analytics and AI across B&MI. Its remit spans data ingestion and processing, reusable datasets, data quality and consistent access, alongside environments for research and customer data workflows. The team owns the engineering and ongoing operation of these capabilities, with a focus on automation, reliability and reuse. It adopts enterprise platforms where they fit and builds shared solutions where needed, so product and research teams can work with reliable data without each team developing and maintaining its own infrastructure.

Requirements

Currently enrolled in a Bachelor’s or accelerated Master’s degree, with an anticipated graduation date between December 2026 and June 2027.
Foundational knowledge of databases, data warehousing, data analytics, or related data technologies.
Previous internship in Data Science, Data Engineering, or a related field.
Basic proficiency in Python and SQL for data analysis, data processing, or problem-solving.
Familiarity with machine learning concepts, techniques, and common applications.
Strong analytical and problem-solving skills with an interest in working with large datasets.
Ability to learn new technologies quickly and collaborate effectively in a team environment.
Must be eligible to work in the United States, now as well as in the future, without employer sponsorship.
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.

Responsibilities

Build and operate shared data services, platforms and tooling.
Manage data ingestion and processing.
Develop reusable datasets.
Ensure data quality and consistent access.
Provide environments for research and customer data workflows.
Focus on automation, reliability and reuse in engineering and ongoing operation of capabilities.
Adopt enterprise platforms and build shared solutions.

Benefits

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
16 weeks of new parent leave
Up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time
5 personal days
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
56 hours of Paid Sick and Safe Time (for interns)
Jury duty leave (for interns)
On-site fitness facilities in some locations (for interns)