# Senior Data Engineer

**Company**: Visa
**Location**: Foster City, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $180,600.00 to $289,300.00 USD per year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Foster-City-CA/Data-Engineer---Sr-Consultant-level_REF088760W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3d03c3cf-bc9

## Description

Visa's Data Platforms organization is responsible for the foundational data ecosystem that powers some of the company's most critical business capabilities. As a Senior Data Engineer, you will help design and build platforms that process and manage data at petabyte scale, ensuring it is accessible, reliable, secure, and optimized for a wide range of internal and customer-facing applications.

Key Responsibilities:

- Partner with product managers, architects, and business stakeholders to define requirements and translate business needs into scalable data platform solutions.

- Design, develop, and enhance distributed data processing systems that support Visa's critical payment, settlement, authorization, and analytics workloads.

- Build and maintain high-performance, reliable data pipelines that process and deliver large volumes of data across multiple platforms, products, and business domains.

- Contribute to the evolution of Visa's data platform architecture, data delivery capabilities, and Master Data Management solutions.

- Lead technical design discussions, architecture reviews, and engineering decision-making for complex initiatives.

- Develop clean, scalable, maintainable, and reusable code that adheres to engineering best practices and platform standards.

- Drive improvements in system reliability, observability, automation, performance, and operational excellence.

- Lead code reviews and mentor fellow engineers, fostering a culture of technical excellence and continuous learning.

- Troubleshoot and resolve complex production issues while identifying opportunities to automate manual processes and reduce operational risk.

- Develop comprehensive testing strategies and quality assurance practices to ensure robust and reliable data solutions.

- Collaborate closely with engineers, data scientists, architects, product managers, and platform teams to deliver business-critical capabilities.

- Identify, analyze, and proactively address data quality, performance, scalability, governance, and security challenges.

- Contribute to project planning, estimation, and delivery while balancing business priorities, technical debt, and long-term platform health.

Qualifications:

- 8+ years of relevant work experience with a Bachelor's degree, OR 5+ years of relevant work experience with an Advanced Degree (Master's, MBA, etc.), OR 2+ years of relevant work experience with a PhD. OR 11 years of relevant work experience

- Strong working knowledge of SQL, NoSQL, graph databases, and RESTful APIs.

- Expert-level experience with the Spark framework, Hive-based technologies, and broader Big Data development tools and platforms

- Extensive hands-on programming experience in Java, Scala, or Python, with the ability to quickly develop clean, production-quality prototypes and core application components.

- Demonstrated success leading large-scale, end-to-end projects that deliver measurable business impact, from initial concept through production delivery.

- Strong understanding of algorithms, data structures, and core computer science fundamentals.

- Practical experience with data modeling for both relational and non-relational database systems.

- Demonstrated leadership behaviors, including a positive mindset, quick learning ability, collaboration, courage in leadership, and strong customer obsession.

## Skills

### Required
- SQL
- NoSQL
- graph databases
- RESTful APIs
- Spark framework
- Hive-based technologies
- Big Data development tools
- Java
- Scala
- Python
- algorithms
- data structures
- computer science fundamentals
- data modeling

### Nice to have
- Generative AI
- Large Language Models
- Apache Airflow
- Git
- CI/CD pipelines
- machine learning
- data quality
- data lineage
- data governance
- compliance
- security requirements

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