Mastercard · Arlington, VA, United States
Skills: React, Angular, Python, Java, AWS, CI/CD
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 …truncated… tercard…
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