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 DescriptionEssential Functions
Design build and implement scalable data pipelines to ingest, process, and store large volumes of data from various sources.
Design, develop, and deploy Generative AI models for various applications, such as natural language processing (NLP) and other creative tasks.
Develop and maintain ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
Responsible for Production development & Support (DevOPS) on payment system services handling Real time data.
Optimize data storage solutions, including databases, data lakes, and cloud-based storage systems.
Collaborate with data scientists and analysts to understand data requirements and provide the necessary infrastructure and tools.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Implement data governance and security measures to protect sensitive information.
Write and maintain comprehensive documentation for data workflows, architecture, and processes.
Stay updated on the latest trends and technologies in data engineering and recommend improvements to existing systems.
Participate in code reviews, provide constructive feedback, and contribute to a collaborative team environment.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
QualificationsBasic Qualifications:
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Python or Java or Go development experience
Must have worked in Unix/Linux operating systems.
Proven experience as a Data Engineer or in a similar role, with a strong understanding of data architecture and pipeline design.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Familiarity with cloud platforms (AWS, GCP, Azure) and services related to data storage and processing.
Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
Excellent problem-solving skills and the ability to work independently and in a team environment.
Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
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 124,700.00 to 180,650.00 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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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