Senior Data Engineer- AI Experimentation Platform Team

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 Opportunity:

We are looking for a versatile, curious, and upbeat Senior Data Engineer to join our team of hardworking and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa, and we thrive on solving sophisticated challenges on a global scale! As a Senior Data Engineer, you will be an integral part of a multi-functional development team inventing, crafting, building, and testing products that reach a truly global customer base.

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

The Senior Data Engineer, as a member of our AI Experimentation Platform team, will have a diverse role in the design, creation, and implementation of our Machine Learning solutions and platforms. Key duties involve crafting versatile solutions for new experiments and developing prototypes, creating efficient algorithms, and optimizing the Machine Learning Models for various applications.

This role also includes using various machine learning technologies to enhance our system's efficiency, researching innovative methods to advance our AI platforms and applications, and working with multi-functional teams within the organization. Moreover, the engineer will be tasked with documenting processes and workflows and sharing insights with the team.

This role demands a comprehensive understanding of Data, AI, and machine learning principles, strong problem-solving abilities, and the capacity to excel in a fast-paced, multifaceted environment.

Essential Functions:

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data and machine learning driven business solutions and prototypes.
• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards.
• Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
• Present technical solutions, capabilities, considerations, and features in business terms.
• 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 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:

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Two (2) years of relevant work experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
• Expert in at least one of the following: Java, Python, Scala and Go
• Two (2) years of experience with algorithms and data structures
• Two (2) years of experience building and pushing code into production.
• Two (2) years of experience implementing and supporting real-time systems.
• Hands-on experience and/or academic background developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.

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