Staff Data Engineer

Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers,...

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Payments are a very exciting and fast-developing area with a lot of new and innovative ideas coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you.

In Ecosystem & Operational Risk group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and 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 fraud for Visa and Visa client payment systems.

This position is ideal for an experienced data engineer who is passionate about collaborating with business and technology partners in solving challenging fraud prevention problems. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem &Operation Risk platform and defining tools and services that safeguard Visa’s payment systems.

The candidate for this role need to have strong data engineering background, with demonstrated experience in building, training, implementing scalable batch and real time data processing systems for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building similar solutions for similar industries.

To be successful in this role, the candidate need to be a technical leader with the ability to engage in high bandwidth conversations with business and technology partners and be able to think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have a strong academic track record and demonstrate excellent data engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

The ideal candidate will bring the excitement and passion to leverage Generative AI to advance existing fraud detection mechanisms and to innovate and solve new fraud use cases. This engineer will use code generation capabilities like GitHub copilot to drive efficiencies in software development.

Essential Functions

• As a Staff Data Engineer, you will help design, enhance, and build next generation fraud detection solutions in an agile development environment.

• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.

• Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development.

• Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.

• Deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.

• Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.

• Build and maintain a robust data engineering process to develop and implement self-serve data and tools.

• Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed.

• Execute data engineering projects ranging from small to large either individually or as part of a project team.

• Ensure project delivery within timelines and meeting requirements.

• Effectively communicate status, issues, and risks in a precise and timely manner.

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 three days a week, Tuesdays, Wednesdays, and Thursdays with a general guidepost of being in the office 50% of the time based on business needs.

Visa is not offering relocation assistance for this role.

Qualifications

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:
· 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
· Experience with creating data driven business solutions and solving data
problems using a wide variety of technologies such as Hadoop, MapReduce,
Hive, Spark, NoSQL as well as traditional relational databases like MySQL
· Experience building real time streaming data pipelines using technologies like
Kafka, Spark Streaming, ELK etc
· Experience building ETL/ELT data pipelines, data quality checks and data
anomaly detection and notification systems
· Experience building large scale distributed data processing systems of high
availability, low latency, & strong data consistency
· Experience with development and programming languages such as Java or
python
· Experience with agile development incorporating continuous integration and
continuous delivery
· Strong facilitation and analytical skills with excellent problem-solving ability
· Strong interpersonal and leadership skills
· Ability to present complex ideas in a clear, concise way.
· Be able to contribute to deep application and system architecture discussions
· Passionate about delivering zero defect code that meet or exceed the
proposed defect SLA and have high sense of accountability for quality and
timeliness of one’s own deliverables and team deliverables
· While you'll have the skill to see and understand the big picture, you're able to
stay focused on the task at hand to achieve immediate goals
· Be systematic and be able to do deep research wanting to uncover the details
· Have good work ethics, and be a team player to bring the best results as a
team
· You have the passion to understand people and always strive to improve our
products
· Highly driven, resourceful and results oriented
· Demonstrated ability to lead and navigate through ambiguity
· Experience working with Splunk
· Experienced in test-driven development and test automation.
· Experience in card industry or fintech delivering solutions in fraud, risk, or
payments space.

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 130,100.00 to 169,200.00 USD, 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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