Staff Data Engineer
Company: Visa
Location: Austin
Posted on: May 3, 2025
Job Description:
Company DescriptionVisa 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.Job DescriptionVisa Technology & Operations LLC, a Visa
Inc. company, needs a Staff Data Engineer (multiple openings) in
Austin, TX to:
- Work on creating new capabilities for AI Platform while
maturing the company's code base and development processes.
- Investigate new requirements and design of code base.
- Refactor existing functionality for performance and
maintainability.
- Collaborate with project team members (Product Managers,
Architects, Analysts, Software Engineers, Project Managers, etc.)
to ensure development and implementation of new data driven
business solutions.
- Drive development effort End-to-End for timely delivery of
high-quality solutions that conform to requirements, conform to the
architectural vision, and align with all applicable standards.
- Collaborate with senior technical staff and PM to identify,
document, plan contingency, track and manage risks and issues until
all are resolved.
- Responsibilities span all phases of solution development.
- Present technical solutions, capabilities, considerations, and
features in business terms.
- Communicate status, issues, and risks in a detailed and timely
manner.
- Position reports to the Austin, Texas office and may allow for
partial telecommuting.QualificationsEmployer will accept a
Bachelor's degree in Computer Science, Statistics, Mathematics, or
related field, followed by 5 years of progressive,
post-baccalaureate experience in the job offered or in a Staff Data
Engineer-related occupation. Alternatively, Employer will accept a
Master's degree in Computer Science, Statistics, Mathematics, or
related field and 3 years of experience in the job offered or in a
Staff Data Engineer-related occupation.Position requires at least 3
years of experience in each of the following:
- Machine and deep learning
- Python, Pyspark, SQL, and Java
- Hive, MySQL, Redis, Flink, Flask, Django, Docker, and
Airflow
- AWS, GCP, or Azure
- Designing and building big data pipelines
- Designing and implementing machine learning systems
end-to-endAdditional InformationWorksite: Austin, TXTravel
Requirements:This position does not require travel.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.U.S. APPLICANTS ONLY:
The estimated salary range for a new hire into this position is
$144,144.00 USD to $223,700.00 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.
Keywords: Visa, Killeen , Staff Data Engineer, Engineering , Austin, Texas
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