Data and Analytics Engineer, Corporate GenAI

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Visa's Corporate Generative AI (CGAI) team is seeking an experienced Data Engineer to join our team. This role focuses on designing, building, and maintaining scalable data infrastructure and pipelines to support data visualization, advanced analytics, business intelligence, and GenAI initiatives. The ideal candidate will have a strong background in data engineering, cloud platforms, automation, and data visualization, with a passion for enabling data-driven decision-making across the organization.

Essential Functions:

Data Engineering & Infrastructure

• Design, develop, and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks.
• Build and optimize data lakes and data warehouses.
• Ensure data quality, consistency, and security across all data platforms.
• Implement data governance best practices and scalable data models.

Data visualization and reporting

• Design and maintain interactive dashboards and executive-level reports using tools like Tableau and Power BI to deliver actionable insights and support strategic decision-making.
• Collaborate with stakeholders to define KPIs and translate complex data into clear visual narratives, supporting GenAI-driven insights and business objectives.
• Provide visualizations of key product metrics such as product usage, user adoption, product maturity, and customer satisfaction to guide product and customer strategy.

Cross-functional Collaboration

• Partner with architects, analysts, and business stakeholders to understand data needs and deliver engineering solutions.
• Support executive reporting and analytics by enabling reliable data access and transformation.

Performance Monitoring & Optimization

• Monitor data pipeline performance and implement improvements for scalability and reliability.
• Automate recurring data processes and reporting workflows to enhance operational efficiency.

Data Infrastructure & Optimization

• Develop scalable data pipelines and workflows using various data sources and platforms.
• Build and manage scheduled reporting systems to ensure timely delivery of recurring insights.
• Design and implement robust ETL/ELT processes to support analytics and GenAI use cases.
• Provide comprehensive, high-level insights through dashboards tailored for leadership and executive stakeholders.
• Optimize data models and queries for performance, reliability, and maintainability.
• Ensure data quality, consistency, and security across all reporting and analytics solutions.
• Integrate data engineering solutions with BI tools and platforms.
• Collaborate with DevOps and cloud teams to manage infrastructure-as-code and CI/CD pipelines.

Continuous Improvement

• Monitor and analyze key metrics to support continuous improvement.
• Explore opportunities for automation and process enhancement in data reporting and analytics.
• Continuously evaluate and adopt new tools, frameworks, and best practices.
• Conduct root cause analysis and implement solutions to improve data reliability.
• Participate in code reviews and knowledge-sharing sessions.

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

• Proficient with data lakes and warehouses (e.g., Snowflake, BigQuery, Redshift)
• Strong skills in data modeling, ETL/ELT pipelines, and data governance
• Experience building automated data pipelines and reporting systems for BI and GenAI use cases
• Expertise in BI tools (e.g., Tableau, Power BI) and data transformation tools (e.g., Tableau Prep, Power Query, DAX, M)
• Familiarity with low-code platforms, automation tools, and API integrations
• Understanding of GenAI concepts, LLM tools, prompt engineering, and supporting infrastructure
• Experience with real-time data processing (e.g., Kafka, Spark Streaming)
• Knowledge of vector databases, semantic search, and embedding models
• Familiarity with CI/CD pipelines, infrastructure-as-code, and containerization (e.g., Docker, Kubernetes)
• Proficiency in Agile methodologies and tools (e.g., JIRA)
• Understanding of data security, encryption, and compliance standards
• Ability to work with structured, semi-structured, and unstructured data
• Strong communication and collaboration skills across cross-functional teams

Technical Skills

• Data Engineering & Analysis: Proficient in SQL and Python; experienced with data lakes, warehouses, ETL/ELT pipelines, data modeling, and governance; skilled in building automated data pipelines and reporting systems.
• Visualization & Reporting: Advanced in BI tools like Tableau, Power BI, and D3.js; familiar with data transformation tools (e.g., Tableau Prep, Power Query) and languages (DAX, M).
• Platform Integration: Experienced with low-code platforms, automation tools, and integrating BI solutions with APIs and data services.
• GenAI & Automation: Knowledgeable in GenAI concepts, LLM-powered tools, prompt engineering, and data infrastructure support for AI workflows.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% 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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 124,700.00 to 180,650.00 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.