Software Engineer II

Mastercard•Arlington, VA

5d•$106,000 - $169,000

About The Position

Mastercard’s Data & Analytics organization is seeking a Software Engineer II to help shape the next generation of enterprise data capabilities. The role contributes to a new platform in its early stages and supports an existing platform that securely moves data from the Mastercard environment into other environments. The team is evolving from data engineering toward platform engineering, collaborating with product teams, consultants, analysts, and engineering partners to make enterprise data easier to exchange, discover, access, and use. The engineer designs, builds, and maintains scalable data-centric platforms, services, and integrations across cloud and on-premises environments. The position develops data-intensive applications and backend services, and contributes to platform onboarding, exchange, discovery, and consumption capabilities. The role also involves maintaining engineering quality and security, resolving performance and reliability issues, participating in system design, and working with cross-functional stakeholders and global teams. Mastercard is an inclusive, equal opportunity employer. Employees are responsible for protecting Mastercard’s assets, information, and networks, following security policies, safeguarding confidentiality and integrity, reporting suspected security incidents, and completing required security training. The stated Arlington, Virginia base salary range is $106,000–$169,000 USD. The successful candidate may also be eligible for an annual bonus or commissions, depending on the role.

Requirements

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.
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.

Nice To Haves

AWS and Databricks 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.

Responsibilities

Design, build, and maintain scalable data-centric platforms, services, and integrations across cloud and on-premises environments.
Contribute to 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.
Build backend services and APIs for data onboarding, exchange, discovery, and consumption.
Write clean, maintainable, 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 shared goals.
Work effectively with teams across global time zones and develop skills as platform and team responsibilities evolve.
Follow Mastercard security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.

Benefits

Medical, prescription drug, dental, vision, disability, and 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, prorated based on date of hire.
10 annual paid U.S. observed holidays.
401(k) with a company match.
Deferred compensation for eligible roles.
Fitness reimbursement or on-site fitness facilities.
Eligibility for tuition reimbursement.
Potential eligibility for an annual bonus or commissions, depending on the role.