Data Engineer Intern

Our team is dedicated to providing systems and services to make data secure, high quality, rich, fast, and easy to use, therefore enabling Visa the ability to leverage its data asset in an effective and timely manner to maximize technology/business development and differentiate Visa from others in the payment industry.

We are seeking an intern to join the team in the summer of 2025, and as an intern, you will get the chance to work with multiple teams, systems, and products through a wide variety data sources using Big Data and Cloud technologies. As an intern, you will get the opportunity to work on optimizing or redesigning our company's data architecture to support our next generation of products and data initiatives.

Our summer internship also comes with social and professional networking events and developmental workshops, designed to provide you the resources and training to have an impactful summer. You will get to work on one or several hands-on projects with the team.

Some job duties and projects could include:

• Self-serve deployment of Kafka clusters using Docker and Kubernetes with auto scale up capability.
• Creating a natural language Chatbot for searching CDISI knowledge base.
• Open NSFW & Apache SeaTunnel
• Data Infused Presentation Builder
• Smart Client Narration

Requirements

Basic Qualifications

• Students pursuing a Bachelor’s or Masters degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, with less than 2 years relevant work experience, graduating December 2025 or later.
• Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.

Preferred Qualifications

• Proficiency in at least one programming language or technology including, but not limited, to: Python, Java, SQL, LINUX/UNIX, React.js, Scala, Spark, PySpark, Hadoop, Kafka, Rust, NoSQL, or Kubernetes
• Coursework or Knowledge of Gen AI, LLM, Machine Learning
• Knowledge of Distributed Systems Design, Scalability, High Availability Resiliency
• Knowledge in Mobile Device delivery. E.g. Cloud Services, plugins
• Well-versed in MS Excel and knowing how to use function(s) such as V-Look Up or Formulas
• The ability to take on challenges and address problems head-on
• Strong ability to collaborate
• Highly driven, resourceful and results oriented
• Good team player and excellent interpersonal skills
• Good analytical and problem-solving skills
• Demonstrated ability to lead and navigate through ambiguity

Additional information

U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $27.00 to $31.00 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 Authorization: Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.

Work Hours: Varies upon the needs of the department.

This is a hybrid position: Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.