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.

Visa is seeking a Staff Data Engineer focusing on Web development within the Commercial Product Development team and  Data Pipeline, Data Analytics and AI model within the Commercial Product Development team, which is a part of Visa's Data Product Development organization and is responsible for designing, developing and managing 20+ Information products and services for Visa's Commercial line of products. Our range of products include data processing platforms, BI reporting and data mining solutions, B2B payments platform.  You will work on customer-facing web and mobile applications using cutting-edge open source frameworks, highly-available RESTful services, and back-end systems using the hottest technologies in Big Data.

This position reports to Director, Visa IntelliLink Platform and will be based in Austin, TX. The successful candidate will be a Lead/developer focused on application development of critical data intensive applications.

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Formulate methods to enable consistent Data loading and optimize Data operations
  Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements
• Identify opportunities for further enhancements and refinements to standards and processes
• Mentor junior team members, develop departmental procedures and best practices standards
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Basic Qualifications:

• 8 years of relevant work experience with a Bachelor's Degree or at least 4 years of relevant work experience with a Master’s Degree, or a PhD.

 Preferred Qualification:

• Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
• Minimum of 8 years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging development best practice methodologies
• Minimum 6 years of experience in design and development of large-scale SaaS products and services with following technologies: C# or Java, JavaScript, Web Services, Entity Framework and Database
• Minimum 4 years of experience in design and development of distributed batch or real time data pipeline and data analytics solutions, using HDFS, MapReduce, Spark, Kafka Streaming, or Apache Flink.
• Experience with large-scale DR systems with both VM and Container based multi datacenter (active active) solutions, external 3rd parties such as Akamai, Cloud Fare etc. and how to bring the solution together into a single view
• Experience in Microservices design and implementing RESTful APIs.
• Exposure to leading-edge areas such as Machine Learning, AI, Big Data
• Experience in improving application availability & resilience.
• Familiar with container strategies and ecosystems such as Docker, Kubernetes
• Good knowledge and experience of database fundamentals, RDBMS data modeling, programming and performance tuning with MS SQL and/or equivalent database.
• Identify opportunities for future enhancements and refinements to standards, best practices and development methodologies
• Knowledge of secure coding practices and framework is a plus
• Experience in supporting large enterprise applications is a plus
• Experience in Agile methodologies such as Scrum.
• Always have an aptitude to learn new technologies and take on challenges

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.