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
Software Engineer II
Overview:
The Mastercard Economic Intelligence team is seeking a Software Engineer II to help design and build data-driven analytical solutions that power economic insights for our customers. In this role, you will develop scalable data systems, build and optimize data pipelines, and contribute to machine learning and analytics capabilities that support business and client decision-making.
Our team transforms billions of global transaction data points into actionable insights, enabling understanding of historical consumer spending, forecasting future trends, and providing commentary on current economic conditions. These insights support clients across financial services, retail, and government sectors.
We are looking for an engineer with strong technical depth who can help design, build, and scale our data platforms, including our in-house 800+ node Hadoop ecosystem and our expanding cloud footprint on Databricks. You will collaborate closely with data scientists, data engineers, and data warehouse teams to deliver reliable, scalable, and high-performance data pipelines and data products.
The team is distributed across Virginia, New York, the Czech Republic, and India.
This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite.
Role:
Design, build, and maintain scalable and efficient data pipelines that power SpendingPulse and new economic insight products.
Develop robust data processing solutions using technologies such as Python, Spark, Hive, and Impala.
Build and optimize data architecture and schemas to support analytics and machine learning use cases.
Improve performance, reliability, and maintainability of large-scale data systems to enable fast troubleshooting and consistent data delivery.
Write clean, testable code and participate in peer code reviews to ensure high engineering standards.
Explore and adopt new tools, frameworks, and approaches to improve data processing and analytics capabilities.
Collaborate cross-functionally with data scientists, product managers, and infrastructure teams to deliver high-impact solutions.
Contribute to all stages of the development lifecycle, including design, implementation, and testing.
About You:
Previous experience in software engineering, data engineering, or a related field.
Strong programming fundamentals; Python preferred (experience in other high-level languages also acceptable)
Solid understanding of object-oriented design principles and software engineering best practices.
Strong SQL expertise, including writing efficient, optimized, and maintainable queries.
Familiarity with Linux command-line environments.
Exposure to big data technologies such as Spark, Hive, or Impala is a plus.
Experience or interest in cloud platforms such as Databricks, AWS or similar (Azure or GCP) is a plus.
Interest in or exposure to machine learning, AI, or emerging agent-based systems is a strong plus
Experience working in Agile development environments.
Passionate about solving complex, real-world challenges through technology.
Self-motivated and proactive, with the ability to take ownership and deliver results in fast-paced, collaborative settings.
Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.
Bachelor's degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience.
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.
LI-NF1
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_accommodation@mastercard.com 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.
Pay Ranges
Arlington, Virginia: $106,000 - $169,000 USD
