Senior 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

We are seeking a Senior Data Engineer to join our Data Engineering organization. This is a hands‑on engineering role responsible for designing, developing, and operating scalable, high‑performance data pipelines and distributed data processing systems that support Visa’s commercial data platforms and products. The role involves working independently on defined components, contributing across the full SDLC, and collaborating closely with product managers, architects, platform teams, operations, and PMO partners. This position supports modern data engineering practices by leveraging AI‑assisted techniques, including Generative AI and agentic workflows, to improve data quality, automation, productivity, and documentation, while adhering to Visa’s security, privacy, and governance standards.

Roles, Responsibilities & Skills:

• Design, build, and optimize large‑scale data pipelines and ETL/ELT workflows for batch and streaming processing
• Develop and maintain distributed data processing solutions using Apache Spark, including performance tuning and optimization
• Implement production‑grade data engineering solutions using Scala and Python (and Java where applicable)
• Write, optimize, and maintain complex SQL queries for data transformation, validation, and analytics
• Work in a UNIX/Linux environment, including scripting and automation for job execution and operational support
• Apply data modeling, schema design, and transformation logic to support analytics and operational use cases
• Ensure data quality, integrity, reliability, and security through automated validations, monitoring, and operational controls
• Translate design artifacts into production‑ready code following Visa engineering standards and secure development practices
• Perform code reviews, unit testing, functional testing, and integration testing
• Contribute to CI/CD pipelines, automation, and release readiness activities
• Leverage Generative AI and AI/ML in data engineering workflows to improve productivity, data quality, anomaly detection, monitoring, and automated validations with human oversight.
• Build and use AI Agents / Agentic AI to automate and orchestrate engineering workflows across validation, testing, CI execution, and operational checks.
• Passionate about continuously learning and applying new technologies to improve data engineering solutions and workflows.
• Mentor junior engineers and contribute to continuous improvement of engineering standards, processes, and best practices
• Collaborate with product managers, architects, platform teams, operations, and PMO to manage dependencies and deliver committed outcomes
• Communicate progress, risks, issues, and dependencies clearly and proactively
• Support production releases, monitoring, incident investigation, and root‑cause analysis
• Create and maintain technical documentation, runbooks, and operational procedures

Qualifications

Basic Qualifications:

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Bachelor’s or Master's degree in computer science, Engineering, or a related technical field

Typically, 2-5 years of relevant experience in data engineering, software engineering, or distributed systems.

Experience working in large‑scale data platforms, data processing systems, or commercial/enterprise data domains.

U.S. Applicants Only

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer