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Über diese Data Engineer I, Launch Program 2027 – Arlington, VA, US Stelle bei Mastercard

Mastercard · Vor Ort · Arlington, Virginia

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 [email protected] 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.

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.




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Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $115,000/yr — unter der üblichen Spanne für Data Engineer Stellen.

$98,163 dem Median $159,120 $242,500

Übliche Spanne $126,750–$197,200/yr, aus 1,662 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über Mastercard

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.

Alle Jobs bei Mastercard ansehen →

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