Senior Data Engineer

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 Senior Data Engineer Overview: Mastercard Services Technology is seeking a Senior Data Engineer to contribute to the data management aspects of client engagements for Test & Learn and other Services products. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients. This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite. Role: • Independently lead projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base. • Act as an expert technical resource within the team and region • Deliver on-time, accurate, high-value, and robust data solutions across multiple clients, solutions, and industry sectors. • Apply strong analytical skills to understand business questions, translate them into data requirements, and design datasets that support reporting, experimentation, and advanced analytics use cases. • Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group. • Leverage industry best practices including proper use of source control, participation in code reviews, data validation, and testing. • Collaborate with and support junior Data Engineers, ensuring efficient execution of their tasks while providing mentorship and guidance. • Partner with analytics and business stakeholders to validate data, interpret results, and ensure data solutions are fit for decision-making. • Build trust-based working relationships with peers and clients across local and global teams. • Comply and uphold all Mastercard internal policies and external regulations. All About You: • Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. • Proven self-motivated professional with experience working with collaborative teams. • Expertise writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. • Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies. • Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines. • Experience with Databricks and Spark is a plus, but not required. • Demonstrates curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not required, but a willingness to learn and experiment is highly valued. • Demonstrated skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation, and quality control to own work product. • Able to easily move between business, data management, and technical teams. Able to quickly intuit the business use case and identify technical solutions. • Able to manage multiple projects and differing project priorities. • Excellent verbal and written communication skills, w ... (truncated, view full listing at source)