Data and Feature Engineer

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

About the role:

This position is for a Data and Feature Engineer with good academic background in computer science and development experience who will focus on creating new capabilities for AI Platform while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your potential technical leadership, problem-solving abilities, coding, testing, and debugging skills will be fully developed in this position.  You must be dedicated to filling product backlog and delivering production-ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with interests in data and feature engineer in the AI training and inferencing end-to-end platform. The candidate will perform hands-on activities including design, documentation, development, and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

This position will be based in Austin, TX. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

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.

Qualifications

Basic Qualifications:

• Minimum of 6 months of work experience or a Bachelor's Degree

Preferred Qualifications:

• 2 or more years of work experience
• Expert in at least one of the following: RUST, Spark, Python, Golang, Java, or C/C++.
• Experience with Feature Engineering/ 'Feature Store' is preferred
• Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing
• Experience with streaming systems like Kafka and related technologies
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
• Exposure to leading-edge end-to-end AI pipeline in the following area: Machine Learning, Deep Learning, Stream Computing, MLOps.

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.