Staff Data Engineer

Company Description

Visa is a global leader in digital payments, processing over 215 billion payment transactions annually between consumers, merchants, financial institutions, and government bodies across more than 200 countries and territories. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payment network, enabling individuals, businesses, and economies to flourish.

By joining Visa, you become part of a culture of purpose and belonging – valuing your growth, embracing your identity, and stressing importance to the work you do. We believe in inclusivity, therefore uplifting everyone, everywhere. Your work will have a direct impact on billions of people around the world, contributing to the future of financial accessibility and money movement.

Join Visa: A Network Working for Everyone.

Job Description

The payment industry is a rapidly evolving field with the constant emergence of innovative ideas. Given the high demand for new solutions, this sector promises exciting innovation. VISA, a prominent leader in the payment industry, is actively transitioning into a technology company with significant investments in this area.

If you desire to be at the forefront of this dynamic sector, constantly learning and creating significant impacts, the Ecosystem & Operational Risk technology team within Visa’s Value-Added Services business unit is the one for you.

Within the Ecosystem & Operational Risk group, the Payment Fraud Disruption team is tasked with creating crucial risk and fraud detection and prevention applications and services. This entails generating ideas, architecture, design, development, and testing of products, applications, and services, offering Visa clients solutions to detect, prevent, and mitigate fraud in Visa and its client’s payment systems.

This position is ideal for a seasoned data engineer who thrives on collaborating with business and technology partners to conquer complex fraud prevention problems. Your key role will be pushing the boundaries to define a shared strategic vision for the Ecosystem and Operational Risk platform, and devising tools and services that shield Visa's payment systems.

The suitable candidate for this role must possess a robust data engineering background, showcasing a proven track record of developing, training, and implementing scalable batch and real-time data processing systems for payment, risk, or fraud prevention products. You must demonstrate significant impacts within the payments or payment risk domains or related industries.

To succeed in this role, you must be a technical leader capable of facilitating high-bandwidth conversations with business and technology partners. You must think broadly about Visa's business and drive solutions that enhance the safety and integrity of Visa's payment ecosystem. You will contribute innovative insights to Visa's strategic products and business. This is a thrilling opportunity to make substantial contributions to Visa's strategic offerings. You must possess an impressive academic record and show remarkable data engineering skills. Being a self-starter, comfortable with ambiguity, having a keen eye for details, and excellent collaboration skills will be advantageous.

The ideal candidate will come equipped with the enthusiasm and passion required to utilize Generative AI to enhance existing fraud detection mechanisms and innovate solutions for new fraud use cases. You will leverage code generation capabilities like GitHub copilot to streamline software development.

Essential Functions

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

• Translate business challenges into technical data problems while collaborating effectively with product stakeholders.

• Drive end-to-end development efforts to deliver high-quality solutions on time. Solutions must meet requirements, match the architectural vision, and adhere to all relevant standards. Responsibilities span all aspects of solution development.

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

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

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

• Execute data engineering projects of varying scale either individually or as a 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 are expected to split work time between remote and office setups. They are typically on-site three days per week, Tuesdays, Wednesdays, and Thursdays, spending about 50% of their time in the office based on business needs.

Visa does not provide immigration support for this role.

Visa does not offer relocation assistance for this role.

Qualifications

Essential Qualifications:
· 5+ years of relevant work experience with a Bachelor’s Degree, 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, 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 in creating data-driven business solutions and resolving data problems using a wide range of technologies such as Hadoop, MapReduce, Hive, Spark, NoSQL, and traditional relational databases like MySQL.
· Experience in building real-time streaming data pipelines using technologies like Kafka, Spark Streaming, ELK, etc.
· Experience in building ETL/ELT data pipelines, data quality checks, data anomaly detection, and notification systems.
· Experience in building large-scale distributed data processing systems with high availability, low latency, and strong data consistency.
· Programming experience with languages such as Java or Python.
· Experience in agile development incorporating continuous integration and continuous delivery.
· Strong problem-solving ability combined with excellent facilitation and analytical skills.
· Strong interpersonal and leadership skills.
· Ability to present complex ideas in a clear and concise manner.
· Being able to contribute to deep application and system architecture discussions.
· Zeal for delivering zero-defect code that meets or exceeds proposed defect SLAs and a high sense of accountability for the quality and timeliness of your deliverables and team deliverables.
· Being systematic and able to conduct deep research with a thirst to uncover details.
· Good work ethics and a team player who can bring the best results as a team.
· Passion for understanding people and continuously striving to improve our products.
· Highly driven, resourceful, and result-oriented.
· Proven ability to lead and navigate through uncertainty.
· Experience working with Splunk.
· Proficient in test-driven development and test automation.
· Experience in the credit card industry or fintech, delivering solutions in fraud, risk, or payments space.

Additional Information

Work Hours: Depending on the needs of the department.

Travel Requirements: This position requires 5-10% travel.

Mental/Physical Requirements: This position will be performed in an office setting. The role will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and 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 accordance with EEOC guidelines and applicable local law.

Applicants with criminal histories will be considered for employment by Visa in accordance with applicable local law, including Article 49 of the San Francisco Police Code.

The estimated base salary range for a new hire into this position is $130,100 to $169,200, which may include potential sales incentive payments (if applicable). The actual salary may vary depending on job-related factors such as knowledge, skills, experience, and location. Additionally, this position may be eligible for a bonus, equity, and a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and a Wellness Program.

Visa does not support immigration for this role.

Visa does not offer relocation assistance for this role.