Data Engineer

About Us
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.

Job Description

Job Summary
Data Engineers in this role support the design, implementation, and maintenance of data pipelines and processing jobs to enable secure, scalable, and high-quality technology solutions. They work hands-on with code, data, and modern tools, collaborating with cross-functional teams to translate business requirements into robust technical solutions. Responsibilities include adhering to best practices, security standards, and regulatory requirements, and contributing to the innovation process by applying knowledge of market trends and industry dynamics.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities

• Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs.
• Interpret technical requirements and execute component designs provided by senior engineers.
• Create and implement code across assigned components, applying coding patterns, guidelines, and best practices.
• Participate in code review processes, gather feedback, and apply changes to owned aspects of code or design.
• Conduct unit testing and support testing code for one component in a common testing environment.
• Contribute to the development of tools and automation processes for transforming, managing, accessing, deploying, and monitoring data processes.
• Collaborate with team members to create queries, extract and compile raw data, and apply basic modification techniques to transform data.
• Review and escalate alerts to maintain a data pipeline, assist with investigations, and implement basic solutions to minimize failures.
• Follow troubleshooting guidance for reviewing, addressing, and fixing basic problems flagged by testing, and escalate complex issues as needed.

• Bachelor's degree, OR 3+ years of relevant work experience.
• Experience in attending stakeholder meetings to gather requirements.
• Experience in interpreting technical requirements and executing component designs.
• Experience in creating and implementing code across assigned components.
• Experience in participating in code review processes and applying feedback.
• Experience in conducting unit testing and supporting code testing in a common environment.
• Experience in developing tools and automation processes for data management.
• Experience in collaborating with team members to extract, compile, and transform data.
• Experience in reviewing and escalating alerts to maintain data pipelines.
• Experience in troubleshooting and resolving basic issues in data pipelines.

• 2 or more years of work experience.
• Experience with Hadoop, Hive, HBase, Spark, Trino, or comparable distributed data systems. • Data pipelines, ETL/ELT, data-quality frameworks, Java or Python, SQL, Git, and production troubleshooting.
• Experience in contributing to the innovation process by applying knowledge of market trends and industry dynamics.
• Experience in applying coding patterns, guidelines, and best practices.
• Experience in using tools to investigate vulnerabilities in software code.
• Experience in collaborating with team members to merge data into distributed systems, products, or tools.