Data Engineer II

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 Data Engineer II Job Title Data Engineer II Overview Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is 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 help individuals, financial institutions, governments, and businesses realize their greatest potential. The Mastercard Services organization is a key differentiator, delivering cutting-edge solutions used by some of the world’s largest organizations to make critical business decisions. Focused on innovation and scale, Services provides data-driven capabilities across consulting, analytics, experimentation, and risk management. Team Overview As part of Mastercard’s Data Platform & Orchestration team, you will contribute to building next-generation data platforms that are critical to our global data ecosystem. Our team develops and operates scalable platform capabilities, including: Cloud-native infrastructure and application provisioning Standardized CI/CD pipelines and engineering tooling Reusable frameworks and data platform components These platforms enable teams to build, deploy, and operate data-driven solutions efficiently and securely at scale. Role Overview Data Platform & Orchestration is seeking a Data Engineer I to contribute to the development of cloud-native data platforms supporting Mastercard's global data ecosystem. This role is ideal for an early-career engineer who is passionate about data engineering, distributed systems, and cloud technologies. You will work closely with senior engineers to build, test, deploy, and support scalable data solutions that power critical business capabilities. You will gain hands-on experience with modern data engineering technologies including Spark, Kafka, cloud platforms, and data processing frameworks while contributing to high-impact projects across Mastercard's data landscape. Key Responsibilities Develop and maintain batch and near real-time data pipelines using Java, Python, Spark, and SQL Build and support ETL/ELT pipelines for processing structured and semi-structured data Contribute to the development of scalable data processing solutions across Data Lake and Data Warehouse environments Assist in developing real-time data ingestion and streaming solutions using Kafka and Spark Structured Streaming Perform data validation, reconciliation, and quality checks to ensure reliable data delivery Collaborate with senior engineers to troubleshoot and resolve data pipeline and production issues Write efficient SQL queries and optimize data processing jobs for performance and scalability Develop and deploy applications and data pipelines in cloud environments such as AWS, Azure, or GCP Contribute to automation, monitoring, and observability initiatives to improve platform reliability Support CI/CD activities including code integration, testing, deployment, and release processes Participate in code reviews and follow engineering best practices for secure and maintainable software development Build reusable components and utilities that improve team productivity and con