Senior Software Engineer

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. Overview We are 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, a technology innovation lab, and the home of Priceless®. 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. We believe in connecting everyone to endless, priceless possibilities. The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the worlds largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. As a member of the Mastercard Intelligence team, you will help build real-time interactive applications for thousands of clients across the globe that allow users to compare the performance of their portfolio against benchmarks. The team will consist of full-stack developers focused on building a platform that leverages the Mastercard data and combining it with other data provided by 3rd parties and clients to power applications that help clients track performance and identify underperforming groups of customers. You will have the opportunity to build a high-performance analytics platform that advances how businesses all over the world unleash the most value from Mastercard data. Our next-generation platform blends industry-leading analytics, advanced software architecture, and the latest web technologies. You will play a vital role within a rapidly growing organization while working closely with experienced and driven engineers to solve challenging problems. The teams work in small, flexible groups and every team member contributes to feature design, building, and testing. The range of work you encounter varies from building data pipelines to working on web apps to writing server-side calculation code to performance turning of large workloads. There are no rigid organizational structures at Mastercard; each team uses processes that work the best for that teams members and projects. Role • Design and develop state of the art service-oriented software architectures • Build high-value analytics off of large data sets while keeping performance top of mind • Evolve the calculation infrastructure to handle an increase in data volume and user base as we scale globally • Leverage new technologies and approaches to innovating with increasingly large data sets • Collaborate across teams with exceptional peers who are passionate about what they do • Assist in leading the development team and serve as a technical resource for team members • Mentor the team and provide guidance to improve on the quality of product development • Collaborate with key stakeholders to bring a data-based technical perspective to the roadmap and business decisions for the improvement of our products • Lead and push the boundaries of analytics and powerful, scalable applications • Bring a focus on high-quality code and development best practices All About You • Proficiency with advanced object-oriented programming • Deep technical foundation in full-stack development • Solid understanding of working and building analytics on top of big data • Experience contributing to the development of large scale applications • Desire to innovate and leverage new technology • Passion for solving complex analytical/quantitative problems in real-world scenarios • Motivation, creativity, self-direction, and desire to thrive on small project teams • Initiative and creativity in approaching new challenges • Superior academic record with a degree in Computer Science or related technical field • Strong English written and communication skills.