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Senior Data EngineerVisa • Austin, Texas, United States
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Senior Data Engineer

Visa
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

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 modeling, schema design, and transformation logic to support analytics and operational use cases
Ensure data quality, integrity, reliability, and security through automated validations, monitoring, and operational controls
Translate design artifacts into production‑ready code following Visa engineering standards and secure development practices
Perform code reviews, unit testing, functional testing, and integration testing
Contribute to CI/CD pipelines, automation, and release readiness activities
Leverage Generative AI and AI/ML in data engineering workflows to improve productivity, data quality, anomaly detection, monitoring, and automated validations with human oversight.
Build and use AI Agents / Agentic AI to automate and orchestrate engineering workflows across validation, testing, CI execution, and operational checks.
Passionate about continuously learning and applying new technologies to improve data engineering solutions and workflows.
Mentor junior engineers and contribute to continuous improvement of engineering standards, processes, and best practices
Collaborate with product managers, architects, platform teams, operations, and PMO to manage dependencies and deliver committed outcomes
Communicate progress, risks, issues, and dependencies clearly and proactively
Support production releases, monitoring, incident investigation, and root‑cause analysis
Create and maintain technical documentation, runbooks, and operational procedures
This is a hybrid position. The expectation of days in the office will be confirmed by your Hiring Manager.
Note: This role does not offer sponsorship.
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).
Bachelor's or Master's degree in computer science, Engineering, or a related technical field.
Typically, 2-5 years of relevant experience in data engineering, software engineering, or distributed systems.
Experience working in large‑scale data platforms, data processing systems, or commercial/enterprise data domains.
U.S. Applicants Only The estimated salary range for this position is $110,700.00 to $171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
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 the EEOC guidelines and applicable local law.
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  • Austin, Texas, United States

Sprachkenntnisse

  • English
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