Data Engineer - Build Robust Data Pipelines

VISA; Foster City (CA); On-site; USD 102,000 - 158,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness Program

Job summary

Visa is seeking a Data Engineer in Foster City, CA to design, implement, and maintain data pipelines and processing jobs. You’ll work hands-on with code, data, and cross-functional teams to deliver secure, scalable data solutions and support analytics at scale.

Candidates should have a bachelor’s degree or 3+ years of experience; on-site with occasional travel. This role emphasizes data quality, security, and collaboration with product and operations teams.

Qualifications

• Bachelor's degree, OR 3+ years of relevant work experience.
• 2+ years of work experience in data engineering or equivalent.
• Experience in attending stakeholder meetings to gather requirements and translate them into data solutions.
• Experience in implementing code across assigned components and participating in code reviews.

Responsibilities

• Attend meetings with stakeholders to learn requirements and understand data ecosystem needs.
• Interpret technical requirements and implement component designs.
• Create and implement code across components following patterns and best practices.
• Participate in code review processes and apply feedback.
• Conduct unit testing and assist testing in a common environment.
• Collaborate to transform and analyze data and support data pipelines.

Skills

Data pipelines

SQL

Python

Education

Bachelor's degree

Job description

Visa is seeking a Data Engineer in Foster City, CA to design, implement, and maintain data pipelines and processing jobs. You’ll work hands-on with code, data, and cross-functional teams to deliver secure, scalable data solutions and support analytics at scale.

Candidates should have a bachelor’s degree or 3+ years of experience; on-site with occasional travel. This role emphasizes data quality, security, and collaboration with product and operations teams.