Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- $106K – $169K/yr
- Location
- Arlington, Virginia, United States
- Employment
- Full-time
- Experience
- seeking a Software Engineer II with experience building data-centric platforms
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
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Role Summary
This Software Engineer II role in Mastercard's Data & Analytics organization contributes to a new enterprise data platform in its early stages while supporting an existing platform that securely moves data from the Mastercard environment into other environments. The team is evolving from data engineering toward platform engineering and works with product teams, consultants, analysts, and engineering partners to make enterprise data easier to exchange, discover, access, and use.
What You'll Do
- Design, build, and maintain scalable data-centric platforms, services, and integrations across cloud and on-premises environments.
- Develop and optimize data-intensive applications using Spark, Databricks, and related technologies to process, transform, and serve data...
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A bachelor's or master's degree in a technical field, or equivalent practical experience, with software engineering fundamentals, cloud experience, and Apache Spark experience.
Required
- 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
- 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
Preferred
- Backend development experience with Java (strong Python experience will also be considered)
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 IIOverview: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, 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 [email protected] 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.
Pay Ranges
Arlington, Virginia: $106,000 - $169,000 USDAbout the company
Mastercard
Large Enterprise
Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.