Data Engineer (Open source committers/contributors)

Visa’s Data and AI Platform team is at the forefront of transforming the payment industry by harnessing the power of big data, artificial intelligence, and modern open‑source technologies. Our mission is to build scalable, high‑performance data platforms and services that enable Visa’s businesses to innovate and deliver value to customers worldwide.

At Visa, we design and build robust, highly available data platforms that process massive volumes of data with real‑time analytics and low‑latency responses. Engineers on our team work with modern open‑source technologies to deliver reliable and flexible solutions that support critical business use cases.

• Big Data Platforms:
  Contribute to platforms that process and analyze large‑scale transactional data, supporting use cases such as fraud detection, analytics, and customer insights.

• Open‑Source Technologies:
  Build solutions using industry‑leading open‑source frameworks such as Apache Kafka, Apache Flink, Apache Spark, Apache Druid, Apache Pinot, and related ecosystem tools.

• Modern Data & Streaming Architectures:
  Work on streaming analytics, real‑time data processing, and low‑latency services that power Visa’s data and AI initiatives.

Who We Are Looking For:

We are looking for early‑career to mid‑level software engineers with a strong foundation in distributed systems, data platforms, or backend engineering, who are eager to grow and contribute to large‑scale platforms.

Responsibilities:

• Participate in all phases of the software development lifecycle, including design, development, testing, deployment, and production support.
• Develop and enhance scalable, resilient, multi‑tenant platform components used by internal applications.
• Collaborate with senior engineers, architects, and cross‑functional partners to deliver platform capabilities aligned with business needs.
• Implement software solutions using best‑practice engineering patterns for reliability and scalability.
• Contribute to platform strategy initiatives, such as scalability, performance optimization, and operational excellence.
• Write clean, maintainable, and well‑tested code following Visa’s engineering standards.
• Actively learn new technologies and apply them to improve platform capabilities.
• Demonstrate an AI‑first mindset, leveraging data and automation where appropriate.
• Support team goals, participate in sprint planning, and contribute to a strong team culture.

Why Join Visa:

By joining Visa’s Data & AI Platform team, you will:

• Work on mission‑critical systems that power global payments.
• Learn from experienced engineers and architects in a collaborative environment.
• Gain hands‑on experience with large‑scale distributed data systems.
• Help shape platforms that enable innovation, security, and customer trust across Visa’s ecosystem.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.