Senior Data Engineer
Visa · Austin, TX, United States
About this role
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world
Progress starts with you. Job Description We are seeking a Senior Data Engineer to join our Data Engineering organization. This is a hands‑on engineering role responsible for designing, developing, and operating scalable, high‑performance data pipelines and distributed data processing systems that support Visa’s commercial data platforms and products
The role involves working independently on defined components, contributing across the full SDLC, and collaborating closely with product managers, architects, platform teams, operations, and PMO partners. This position supports modern data engineering practices by leveraging AI‑assisted techniques, including Generative AI and agentic workflows, to improve data quality, automation, productivity, and documentation, while adhering to Visa’s security, privacy, and governance standards. Roles, Responsibilities & Skills: Design, build, and optimize large‑scale data pipelines and ETL/ELT workflows for batch and streaming processing Develop and maintain distributed data processing solutions using Apache Spark, including performance tuning and optimization Implement production‑grade data engineering solutions using Scala and Python (and Java where applicable) Write, optimize, and maintain complex SQL queries for data transformation, validation, and analytics Work in a UNIX/Linux environment, including scripting and automation for job execution and operational support Apply data modelin
Apply for this role on Visa’s official careers site.