Data Engineer

Company Description

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’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling tens of thousands of secure transactions per second across millions of merchants, thousands of financial institutions, and billions of consumers worldwide. Our teams solve large-scale, complex problems across payments, data platforms, security, and next-generation digital experiences.

The Opportunity:

• We are seeking a highly skilled and motivated Staff Data Engineer to join our Value Added Services Data Platform team in Foster City. In this role, you will be a senior technical contributor responsible for designing, building, and operating scalable data platforms that power analytics, reporting, and AI enabled products across Visa.
• You will own complex data engineering initiatives end to end, influence data platform architecture, and partner closely with Data Scientists, Product Managers, and Platform Engineers. You will play a critical role in ensuring data is reliable, performant, secure, and ready for advanced analytics and machine learning use cases.
• This role requires strong hands-on engineering expertise, sound technical judgment, and the ability to drive solutions across multiple teams.

Essential Functions:

• Data Platform Engineering:
  Design, build, and maintain large-scale batch and streaming data pipelines that ingest, process, and serve high-quality data.
• System and Data Architecture:
  Lead the design of data models, schemas, storage formats, and access patterns to support analytics, reporting, and AI workloads.
• Data Quality and Observability:
  Implement data quality checks, monitoring, lineage, and alerting to ensure trusted and production-grade data assets.
• Cloud and Distributed Systems:
  Build and operate cloud-native data platforms using distributed processing frameworks and modern storage technologies.
• AI and Analytics Enablement:
  Partner with Data Science and AI teams to enable feature engineering pipelines, training datasets, and data flows for inference and analytics.
• Performance and Cost Optimization:
  Optimize pipelines and data storage for scalability, performance, reliability, and cost efficiency.
• Cross-Functional Collaboration:
  
  Work closely with Product, Engineering, Security, and Operations teams to deliver integrated and compliant data solutions.
• Platform Modernization:
  Drive adoption of modern data engineering practices including data versioning, schema evolution, CI/CD for data pipelines, and infrastructure as code.
• Automation and Reusability:
  Build reusable frameworks, libraries, and tooling to improve developer productivity and reduce operational overhead.
• Operational Excellence:
  Participate in on-call rotations, incident response, troubleshooting, and root cause analysis to maintain platform reliability.
• Mentorship and Technical Leadership:
  Mentor engineers, contribute to design reviews, and help raise the bar for data engineering standards and best practices.

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

Basic Qualifications:

5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications:

7 or more years of relevant work experience with a Bachelor’s degree in Computer Science, Engineering, or related field, or 5 or more years with an Advanced…