# Software Engineer II at Mastercard

Mastercard is hiring a Software Engineer II in Arlington, United States. Level rates it Little AI ●○○○; you can [apply on Mastercard](https://jobsbylevel.com/go/4b3c1f39-27ae-4f2c-9082-835989363782?utm_medium=ai-agent).

AI Level 1, AI centrality 23 out of 100. Arlington, Virginia.

## Details

- Company: [Mastercard](https://jobsbylevel.com/companies/mastercard)
- AI level: AI Level 1 (score 23 out of 100)
- Location: Arlington, Virginia
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/4b3c1f39-27ae-4f2c-9082-835989363782?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=software-engineer-ii-at-mastercard-237ef8

## Description

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: Mastercard’s Data & Analytics organization is seeking a Software Engineer II with experience building data-centric platforms to help shape the next generation of our enterprise data capabilities. This role will contribute to a new platform in its early stages while also supporting an existing platform that securely moves data from the Mastercard environment into other environments. This is an opportunity to join a team evolving from data engineering toward platform engineering, working closely with product teams, consultants, analysts, and engineering partners to make enterprise data easier to exchange, discover, access, and use. Role: • Design, build, and maintain scalable data-centric platforms, services, and integrations across cloud and on-premises environments. • Contribute to the development of a new enterprise data platform while supporting and enhancing the existing data movement platform. • Develop and optimize data-intensive applications using Spark, Databricks, and related technologies to process, transform, and serve data efficiently. • Build backend services and APIs that support data onboarding, exchange, discovery, and consumption capabilities. • Write clean, maintainable, and well-tested code, and contribute to code reviews, CI/CD practices, and engineering standards. • Identify and resolve performance, reliability, and scalability issues across services, APIs, and data-processing workloads. • Participate in system design discussions and collaborate with cross-functional teams to deliver secure, high-quality solutions. • Partner with Product, Engineering, Data Governance, Security, and business stakeholders to understand requirements and deliver against shared goals. • Work effectively with teams across global time zones and continue to grow your skills as the platform and team responsibilities evolve. All About You: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • Strong software engineering fundamentals, including object-oriented programming, API design, testing, and scalable system design. • Backend development experience with Java preferred; strong Python experience will also be considered. • Hands-on experience with Apache Spark for building or optimizing data-processing workloads. • Experience with cloud and cloud-native technologies, with AWS and Databricks experience strongly preferred. • Working knowledge of CI/CD pipelines, version control, automated testing, and production support. • Experience building or contributing to data-centric platforms, distributed systems, or enterprise data integration solutions. • Strong problem-solving, collaboration, and communication skills, with the ability to work effectively in an agile environment. • Curiosity, ownership, and a growth mindset, with the ability to adapt as priorities and responsibilities take shape. Preferred Experience: • Experience with Spring Boot. • Front-end development exposure, including React or Angular. • Experience with streaming technologies such as Kafka and Flink. • Experience building reusable platforms that serve multiple products, teams, or business domains. • Exposure to integrating AI-driven capabilities into data platforms with appropriate governance and guardrails. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineer-ii-at-mastercard-237ef8

Source: https://jobsbylevel.com/jobs/software-engineer-ii-at-mastercard-237ef8

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Level. https://jobsbylevel.com/jobs/software-engineer-ii-at-mastercard-237ef8.

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