Company Description
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.
Job Description
The Ecosystem & Operational Risk (EOR) Team is responsible for building critical risk and fraud prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate risk for Visa and Visa client payment systems.
Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.
As a Staff Data Engineer, you will be responsible for establishing processes, automations, structures, and big data systems based on business and technical requirements to channel multiple requirements, route appropriately, and plan proper big data technology using a combination of open-source and vendor-supported big data technologies, databases, and other applicable big data technologies as required.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Visa is not offering relocation assistance for this role.
Qualifications
Basic Qualifications
5 or more years of relevant work experience with a Bachelors 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 or more years of work experience with a Bachelors Degree or 4 or more 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
Bachelor’s degree in a technical field such as computer science, computer engineering, or a related field required. Advanced degree preferred
Minimum of 6 years of software development experience (with a concentration in data-centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
Minimum of 3 to 4 years of experience in building large-scale applications using open-source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, and MapReduce
Minimum of 4 years of hands-on expertise with Scala and/or Python/Java
Experience with highly distributed, scalable, concurrent, and low latency systems working with one or more of the following database technologies: DB2, MySQL, and NoSQL data warehouses such as HBase
Experience working in an Agile and Test Driven Development environment
Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git desirable
Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is preferred
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% 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 139,800.00 to 202,750.00 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.
Visa is not offering relocation assistance for this role.
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