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Data Engineer , Launch Program – Arlington, VA,

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Mastercard Inc.
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 115000 USD Yearly USD 115000.00 YEAR
Job Description & How to Apply Below
Title and Summary

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 2027 – Arlington, VA, US

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.

What we’re looking for
  • 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.
  • 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. Please be sure to upload an unofficial copy of your school transcript when submitting your application. Base Salary: $115,000

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 and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this…

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