Software Engineer II

Mastercard • Arlington, VA

1d • Hybrid

About The Position

Mastercard powers economies and empowers people in 200+ countries and territories worldwide, aiming to build a sustainable economy where everyone can prosper. They support a wide range of digital payments choices, making transactions secure, simple, smart, and accessible through technology, innovation, partnerships, and networks. 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 their 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. The 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. Mastercard is looking for an engineer with strong technical depth who can help design, build, and scale their data platforms, including an in-house 800+ node Hadoop ecosystem and an 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.

Requirements

• 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.
• 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.
• Candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees