Software Development Engineer II - Data and Analytics

Software Engineer II-1

The Business Experimentation and Optimization (BE&O) teams within Mastercard's Services organization are building industry-leading software that empowers business users around the world to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients.

We are seeking a technically strong Software Development Engineer to contribute to the architecture, design, and development of our next-generation experimentation platform. In this role, you will work closely with other team members to help implement and evolve system designs, ensuring solutions meet high engineering standards. You will build and enhance scalable services, APIs, and analytical capabilities that power the platform, leveraging technologies such as Databricks and cloud platforms including AWS and Azure.

This role involves close collaboration with your immediate team as well as other development teams across programs to align on shared goals, contribute to cross-cutting initiatives, and deliver cohesive, enterprise-grade solutions. You will participate in design and code reviews, contribute to engineering best practices, and support operational excellence. You will work effectively across global time zones, contribute to a strong engineering culture, and continuously grow your technical skills while helping the team deliver reliable, high-quality software.

Our teams are small, agile, and empowered to choose the processes that work best for their goals. Every engineer contributes to the full development lifecycle—from ideation and design to implementation and testing—fostering a culture of ownership, innovation, and continuous improvement.

We are seeking passionate and talented engineers who share our vision of empowering customers to make smarter, data-driven decisions. Join us and help shape the future growth of our team.

Position Responsibilities:

• Design, build, and enhance cloud-native services and modern frameworks that support data-driven decision-making for some of the world's largest organizations.
• Develop scalable, high-quality applications and services, contributing to APIs and backend systems deployed on AWS or Azure cloud infrastructure.
• Collaborate with senior engineers and architects to implement and evolve technical designs, applying modern architectural patterns and technologies to continuously improve product capabilities.
• Contribute to the development and modernization of web-based data and analytics applications, helping improve performance, scalability, reliability, and maintainability as the platform grows.
• Participate in design and code reviews, applying best engineering practices (clean code, testing, security, performance) and continuously improving code quality and system robustness.
• Work closely with cross-functional partners—including Product Management, QA, and Data Science—to translate functional requirements into well-designed, scalable technical solutions.
• Support the modernization and optimization of existing systems, including contributions to service-based architectures and cloud scalability efforts to support increasing data volumes and user demand.
• Collaborate effectively with globally distributed teams, demonstrating strong communication skills and a team-first mindset in a fast-paced, agile environment.

Ideal Candidate Qualifications:

• 2+ years strong full-stack software engineering experience in an agile development environment, with experience building and supporting production-grade applications.
• Hands-on experience developing microservices and RESTful APIs, along with working knowledge of relational databases and distributed data stores.
• Experience with cloud platforms (AWS and/or Azure) and modern deployment practices, including containerization (e.g., Docker) and familiarity with orchestration tools (e.g., Kubernetes).
• Experience working with data and analytics platforms, such as Databricks and Spark (or PySpark), for building or consuming data pipelines and analytical workloads.
• Ability to collaborate with Product and Engineering partners to understand requirements and contribute to technical design discussions, balancing functional and non-functional considerations.
• Exposure to Generative AI (GenAI) concepts or applications within software products or the development lifecycle is a plus.
• Demonstrated ability to learn new domains quickly, contribute independently to complex codebases, and deliver high-quality solutions with guidance from senior engineers.
• Strong problem-solving, communication, and collaboration skills, with experience working across teams and time zones.
• Self-motivated and adaptable, with the ability to thrive in a dynamic, fast-paced environment while continuously improving technical skills.
• Bachelor's degree in Computer Science or a related field (or equivalent practical experience) with a solid foundation in software engineering fundamentals.

Who is Mastercard?

Mastercard is the global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, and a technology innovation lab. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you.

Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law.

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.