Sr. 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.

Visa will accept applications for this role until at least 06-10-2026

Job Description

The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization, providing the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use data assets.

As a Senior Data Engineer, you'll join our Data & AI Platform – Data as a Service organization in Foster City, California. You will help design, enhance, and build our data infrastructure and pipelines within an agile development environment, using Gen AI regularly, and collaborating with colleagues who will support and challenge you daily. 

What We Offer:

• Exciting Challenges: We work at a scale rarely seen in the industry, solving complex data and AI problems across the entire stack, offering limitless opportunities to leverage and lead in this ever-growing field.
• Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more than the sum of our parts and have fun at the same time.
• Fantastic People: With strong leadership, you will have the opportunity to learn, collaborate, and deliver together with some of the best and most creative minds in the industry.

Role Summary:

The I5 Data Engineer is a strong individual contributor who designs, builds, and operates scalable, reliable, and compliant data pipelines and platform services. This role focuses on delivering high‑quality data products, improving platform resilience, and enabling downstream analytics and client consumption at scale.

The engineer works independently on well‑defined problem areas, partners closely with peer engineers and cross‑functional teams, and contributes to platform modernization, operational excellence, and secure data handling practices.

Key Responsibilities:

Data Engineering & Platform Development:

• Design, implement, and maintain scalable data pipelines using batch and/or streaming processing patterns.
• Build and enhance data platform services that support analytics, reporting, and client-facing use cases.
• Ensure data quality, referential integrity, and consistency across datasets and environments.
• Contribute to platform evolution efforts such as modernization, standardization, and migration initiatives.

Reliability, Scale, and Operations:

• Improve operational stability through better observability, alerting, and proactive issue detection.
• Participate in root cause analysis for production incidents and implement durable fixes.
• Optimize pipelines and infrastructure to support performance, scale, and SLA compliance.
• Support production readiness, release execution, and post-deployment validation.

Security & Compliance:

• Implement data obfuscation, masking, and access controls to meet security and compliance requirements.
• Partner with Cybersecurity and governance teams to ensure platforms meet regulatory and audit expectations.
• Follow secure development and deployment practices across environments.

Collaboration & Execution:

• Work closely with product, QA, SRE, and downstream consumer teams to deliver end‑to‑end solutions.
• Contribute to design discussions, documentation, and technical decision‑making within the team.
• Support client or internal onboarding by enabling reliable, consumable data interfaces.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:​​​​​​​ 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience 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) Strong experience in data engineering, backend engineering, or platform development. Proficiency in SQL and at least one general‑purpose programming language (e.g., Java, Scala, Python). Hands‑on experience with distributed data systems (e.g., Hadoop/Spark‑based platforms, relational databases). Experience utilizing GenAI technologies in software development Understanding of data modeling, data quality, and lifecycle management. 5 or more years of work experience with a Bachelor’s Degree in Computer Science or a related field or more than 3 years of experience after Advanced Degree (e.g. Masters, MBA or PhD) Hands on Experience in on-prem (Hadoop) and cloud-based data platforms (AWS, Azure, DataBricks) and related data storage (HDFS, S3) and processing tools (Spark) Experience in an Agile environment, with a strong emphasis on best software development practices such as CI/CD, code reviews, and test automation, using tools like Jira and Jira Align Experience with streaming or event‑driven architectures. Experience supporting regulated or security‑sensitive data. Knowledge of semantic layers, metadata systems, or data governance concepts.

U.S. Applicants Only

The estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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

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