Senior Data Engineer - Remote

Overview

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.

In Short

• Create and maintain optimal data pipeline architecture for validating and certifying payment workflows.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build analytics tools that utilize the data automation pipeline to provide actionable insights into payment workflow efficiency and key quality assurance metrics.
• 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.
• Partner with Product on implementation and testing strategies.
• Work on building and maintaining data integration automation framework for B2B Connect Network.
• Work with team to partner and drive the strategies involving data and service integration with large financial institutions for competitive rate analysis and settlement data.
• Build and maintain data streaming automation framework to support B2B Connect growth.

Requirements

• Employer will accept a Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, Data Science, Cybersecurity or related field.
• Experience in computer science algorithms fundamentals.
• Experience in at least two of the following programming languages: Java, Go, Scala, Python and/or JavaScript.
• Working in Unix or Linux environments, Open source technologies, and client-server apps.
• Working with multiple database models, such as Relational DBMS, Document, Columnar and Key-Value data stores.
• Working with big data and messaging platforms: Kafka, Flink, Spark, Hadoop, and RabbitMQ.
• Writing code in multiple programming language paradigms such as Object-Oriented and Functional Programming Languages.
• Quality assurance processes and methodologies with a quality-first attitude.

Benefits

• Comprehensive benefits package including Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
• Potential for bonus and equity.