Senior Data Engineer

Visa Technology and Operations LLC offers opportunities to make an impact at scale, tackle meaningful challenges, and grow your technical capabilities within a global payments technology leader. You will contribute to Visa’s commercial data platforms and products while collaborating across product, architecture, platform, operations, and PMO teams. The company operates across more than 200 countries and territories, with a focus on empowering people and businesses to pay and be paid more efficiently.

Salary range: USD 110,700 to 171,800 per year. This role also participates in Visa's comprehensive benefits program designed to support health, financial security, and well being.

Responsibilities

• Design, build, and optimize large-scale data pipelines and ETL/ELT workflows for both batch and streaming processing.
• Develop and tune distributed data processing solutions using Apache Spark to maximize performance.
• Deliver production-grade data engineering solutions with Scala and Python, and Java where applicable.
• Create and refine complex SQL queries for data transformation, validation, and analytics.
• Operate in UNIX/Linux environments, including scripting to automate job execution and provide operational support.
• Apply data modeling and schema design to support analytics and operational use cases.
• Maintain data quality, integrity, reliability, and security through automated validations, monitoring, and controls.
• Translate design artifacts into production-ready code in line with Visa engineering standards and secure development practices.
• Participate in code reviews, unit testing, functional testing, and integration testing to ensure quality.
• Contribute to CI/CD pipelines, automation, and release readiness activities.
• Leverage Generative AI and AI/ML within data engineering workflows to improve productivity, anomaly detection, monitoring, and automated validations with human oversight.
• Build and use AI Agents / Agentic AI to automate engineering workflows across validation, testing, CI execution, and operational checks.
• Pursue ongoing learning and apply new technologies to enhance data engineering solutions and workflows.
• Mentor junior engineers and contribute to the ongoing improvement of engineering standards and practices.
• Collaborate with product managers, architects, platform teams, operations, and PMO to manage dependencies and deliver 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.

Requirements

• Bachelor's or Master's degree in computer science, engineering, or a related technical field.
• Typically 2 to 5 years of relevant experience in data engineering, software engineering, or distributed systems.
• Experience working with large-scale data platforms, data processing systems, or enterprise data domains.

Technologies

• Apache Spark
• Scala
• Python
• Java
• SQL
• UNIX/Linux
• Generative AI
• AI/ML
• AI Agents / Agentic AI

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program
• Bonus eligibility
• Equity eligibility

About Visa

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 have the opportunity to create impact at scale, tackle meaningful challenges, grow your skills, and see your contributions affect lives around the world. Join Visa and do work that matters for you, your community, and the world.

Work Hours

Work hours vary depending on departmental needs.

Travel

Travel is anticipated to be 5 to 10 percent of the time.

EEO Statement

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