Staff Data Engineer at 110 Visa U.S.A. Inc.

Compensation · Listed in posting

$131,600 – $210,300/yr

Setup: Hybrid
Location: Austin, Texas
Type: Full-time
Level: staff+
Posted: Sep 11, 2026

Description

Visa is hiring a Staff Data Engineer to design, implement, and improve data products, pipelines, and software systems for fintech applications. The role involves translating business requirements into architecture, writing and testing code, building automation and orchestration tools, managing data quality and security, and supporting production deployments and troubleshooting. The position requires at least three days in the office, 5–10% travel, and offers an estimated US salary of $131,600 to $210,300 per year, with medical, dental, vision, retirement, and other benefits.

Required Skills

Data pipelines
Unit testing
CI/CD
Containerization
Observability
Secure coding
Hadoop
Kafka
Redis
NoSQL
RDBMS

Additional Information

Minimum Education: Bachelor’s degree, or an advanced degree with at least two years of experience, or a PhD with no prior experience, or eight years of relevant experience.
Required Previous Experiences: At least five years of relevant work experience with a bachelor’s degree.
At least two years of work experience with an advanced degree.
Zero years of work experience with a PhD.
At least eight years of relevant work experience.
Preferred Qualifications: Experience designing and implementing data pipelines and large-scale data processing jobs.
Experience writing, modifying, and reviewing high-quality, testable, and efficient code.
Experience developing unit, integration, and end-to-end tests with a focus on automation.
Experience building and maintaining CI/CD pipelines and deploying applications using containerization and orchestration tools.
Experience monitoring applications in production and troubleshooting issues using observability tools.
Experience integrating AI or ML services into applications.
Experience collecting and analyzing metrics to guide optimizations and improvements.
Experience partnering with stakeholders to clarify requirements and ensure deliverables meet business needs.
Experience applying secure coding practices and complying with regulatory standards.
Experience solving data problems using Hadoop, Hive, Kafka, Redis, NoSQL, and RDBMS.
Experience building and pushing code into production.
Experience implementing and supporting real-time systems.
Experience mentoring junior engineers and writing clear technical documentation.