Senior Data Engineer

Location: Foster City, CA

*** Mention DataYoshi when applying ***

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The GDS Data Engineering group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building scalable engineering solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Engineer who are equally passionate about the opportunity to use Visa’s rich data to build Data Engineering pipeline, and deploy ML/DL modeling solutions for global or regional areas to tackle meaningful business problems.

The position is based at Foster City, CA or other GDS offices in the U.S.


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

Preferred Qualifications

  • 6+ years of work experience with a Bachelor’s Degree or 4 +years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 2+ years’ experience in data-based decision-making or quantitative analysis
  • Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
  • Extracting and aggregating data from large data sets using SQL/Hive or Spark
  • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
  • Generating and visualizing data-based insights in software such as Tableau
  • Communicating data-driven insights and conveying actionable recommendations
  • Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
  • Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required


Essential Functions

  • Create automated data ingestion pipeline with Spark, Python or other tools and provide scalable data engineering solution for Visa Consulting and Analytics
  • Understand credit card portfolio profitability and develop financial allocation and forecasting models, e.g. calculate NPV, net profit margin using P&L data
  • Ensure issuer data accuracy, integrity and consistency. Develop self-service reporting tools with financial KPIs and facilitate issuer consulting engagements including data exchange
  • Assist in analytics and communication of key financial revenue driver trends and performance
  • Drive in-depth analysis to help issuers increase cardholder usage and engagement, providing data driven insights and actionable recommendations to improve cardholder activation and usage
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
  • Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
  • Communicate with clients to understand the challenges they face and convince them with data
  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
  • Develop visualizations to make your complex analyses accessible to a broad audience
  • Find opportunities to craft products out of analyses that are suitable for multiple clients
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques

Additional Information

  • Work Hours
    Incumbent must make themselves available during core business hours.

  • Travel Requirements This position requires the incumbent to travel for work up to 0-5% of the time.

  • 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, and reach with hands and arms.

*** Mention DataYoshi when applying ***

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