Data Engineer at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

134600.0

Posted On

03 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Processing, BigData Technologies, SOA Architecture, Continuous Integration, Automation Frameworks, AI/ML, Databricks, Kafka, Presto, Solr, Nifi, Airflow, Sqoop, Java, Python, SQL

Industry

IT Services and IT Consulting

Description

Company Description 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. Job Description Essential Functions: Participate in the entire lifecycle, from design through the development and test processes to production support. Tasked with building and maintaining highly scalable data processing pipelines using BigData technologies and SOA architecture. Implement continuous integration, testing, deployment practices and automation frameworks to increase productivity. Work with architectural and security teams to design, build, and maintain services that are compliant and meet Visa security standards. Participate in cross-group and internal customer feature demos. Please note: This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa will not sponsor employment authorization for this role. Qualifications Basic Qualifications Minimum of 6 months of work experience or a Bachelor's Degree Preferred Qualifications Hands-on experience with all aspects of software development: data, server-side, and open-source software. Knowledge in AI/ML, especially solution building using ChatGPT and GenAI, Github Copilot Databricks, Kafka, Presto, Solr, Nifi, Airflow, Sqoop Willingness to adapt quickly and learn newer technologies Software development knowledge using Java or Python Basic knowledge and training in Bigdata technologies like Hive and Spark Ability to understand and write complex SQL queries for development & data analysis Basic experience on Unix and shell scripting Knowledge on standard CI/CD processes, specifically Jenkins CI/CD Additional Information 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 EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 95,200.00 to 134,600.00 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.

Responsibilities

Participate in the entire lifecycle of data processing, from design to production support. Build and maintain scalable data processing pipelines using BigData technologies.