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 are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a majority of their time coding, working hands-on with code, data, and modern tools-including AI-assisted development, cloud services, and automation frameworks-to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.

• Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs for business and product features.
• Interpret technical requirements provided by senior engineers and execute component designs, documenting module design and identifying systems, architectures, tools, and storage needs.
• Create and implement code across assigned components, applying coding patterns, guidelines, styles, and best practices while adhering to all security requirements.
• Participate in code review processes for self-development, gather feedback, and apply changes to owned aspects of code or design.
• Conduct unit testing to confirm functional capability of code, perform tests for coding standards and security scans, and support testing code for one component in a common testing environment.
• Contribute to the development of tools and automation processes that assist in transforming, managing, accessing, deploying, and monitoring data processes in batches and/or real time.
• Collaborate with team members to create queries to extract and compile raw data, contribute to basic orchestration techniques that automate data extraction logic, and apply basic modification techniques to transform raw data for downstream sources.
• Review and escalate alerts to maintain a data pipeline, assist with investigations to identify reasons for alerts, and implement basic solutions to minimize failures.
• Follow troubleshooting guidance for reviewing, addressing, and fixing basic problems/anomalies flagged by testing, and escalate complex issues when supporting platforms.

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

• 2 or more years of work experience.
• Experience in contributing to the development of orchestration techniques for automating data extraction logic.
• Experience in applying modification techniques to transform raw data for compatibility with downstream sources.
• Experience in assisting with investigations to identify reasons for pipeline alerts and implementing solutions.
• Experience in following troubleshooting guidance to address and fix anomalies flagged by testing.