Data Engineer (Open source committers/contributors)

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters to you, to your community, and to the world.

Progress starts with you.

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 opensource technologies. Our mission is to build scalable, highperformance 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 realtime analytics and lowlatency responses. Engineers on our team work with modern opensource technologies to deliver reliable and flexible solutions that support critical business use cases.

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

• OpenSource Technologies:
  
  Build solutions using industryleading opensource 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, realtime data processing, and lowlatency services that power Visa's data and AI initiatives.

Who We Are Looking For:

We are looking for earlycareer to midlevel software engineers with a strong foundation in distributed systems, data platforms, or backend engineering, who are eager to grow and contribute to largescale platforms.

Responsibilities:

• Participate in all phases of the software development lifecycle, including design, development, testing, deployment, and production support.
• Develop and enhance scalable, resilient, multitenant platform components used by internal applications.
• Collaborate with senior engineers, architects, and crossfunctional partners to deliver platform capabilities aligned with business needs.
• Implement software solutions using bestpractice engineering patterns for reliability and scalability.
• Contribute to platform strategy initiatives, such as scalability, performance optimization, and operational excellence.
• Write clean, maintainable, and welltested code following Visa's engineering standards.
• Actively learn new technologies and apply them to improve platform capabilities.
• Demonstrate an AIfirst 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 missioncritical systems that power global payments.
• Learn from experienced engineers and architects in a collaborative environment.
• Gain handson experience with largescale 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.

Basic Qualifications:

2+ years of professional experience in software development with a Bachelor's degree in Computer Science or a related technical field, or

1 + years of relevant work experience with an advanced degree (e.g., Master's, MBA), or

0 years of work experience with a PhD in a relevant discipline.

Preferred Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

2+ years of hands-on software development experience, preferably in building platform services, PaaS solutions, or application frameworks.

Strong verbal and written communication skills, with solid analytical and problem-solving abilities.

Proficiency in modern engineering practices and writing high-quality, maintainable code, with expertise in at least one of the following languages: Java, Python, or Go.

Experience with streaming platform technologies such as Apache Kafka or Apache Flink.

Hands-on experience with containers, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

Working knowledge of Agentic AI frameworks and MCP servers.

Experience in DevOps and core infrastructure development, using tools such as Docker, Kubernetes, Ansible, and Terraform.

Experience building RESTful services and APIs, following best practices for service abstraction, microservices architecture, and orchestration frameworks.

Experience developing shared services or reusable libraries used across teams or organizations.

Familiarity with Agile development methodologies and CI/CD pipelines, including tool integration, automation, and configuration management using Git.

Understanding of diverse Lines of Business (LOBs) and their platform needs, combined with strong technical depth.

Nice to have: Contributions to open-source projects, particularly Apache Kafka or Apache Flink.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.