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# Software Engineer II

- **Company:** Mastercard
- **Location:** Arlington, VA, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloudera Impala, Cyber Security, Information Systems, Data Architecture, Information Engineering, Data Warehousing, Apache Hadoop, Apache Hive, Python (Programming Language), Linux Commands, Machine Learning, Object-Oriented Software Development, Software Construction, Software Engineering, Transaction Data, Data Processing, Apache Spark, Agentic-AI, Build Management, Information Technology, Data Analytics, Data Management, Data Delivery, Data Pipelines, Databricks
- **Published:** October 20, 2026
- **Apply:** https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Arlington-Virginia/Software-Engineer-II_R-293167

## About the Role

* Previous experience in software engineering, data engineering, or 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 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 or in the future without employer sponsorship.

## Description

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 and build scalable, maintainable data pipelines for economic insight products.
 * Develop robust data processing solutions using technologies such as Python, Spark, Hive, and Impala.
 * Drive the team's pivot from on-prem to cloud technologies, such as Databricks, to increase the robustness and scale of our analytic capabilities.
 * 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 of lifecycles, including design, implementation, and testing.
 * Collaborate with product and engineering team members on innovative new product ideas and capabilities to accelerate growth of the business., 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.