Level

Visa

Data Engineer

AI in this role

Builds and maintains data pipelines and processing jobs while utilizing generative AI tools for everyday coding tasks.

chatgptcopilotmicrosoft-copilot
data-pipelinespythonsqletltesting

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

Job Summary
Data Engineers in this role support the design, implementation, and maintenance of data pipelines and processing jobs to enable secure, scalable, and high-quality technology solutions. They work hands-on with code, data, and modern tools, collaborating with cross-functional teams to translate business requirements into robust technical solutions. Responsibilities include adhering to best practices, security standards, and regulatory requirements, and contributing to the innovation process by applying knowledge of market trends and industry dynamics.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities

  • Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs.
  • Interpret technical requirements and execute component designs provided by senior engineers.
  • Create and implement code across assigned components, applying coding patterns, guidelines, and best practices.
  • Participate in code review processes, gather feedback, and apply changes to owned aspects of code or design.
  • Conduct unit testing and support testing code for one component in a common testing environment.
  • Contribute to the development of tools and automation processes for transforming, managing, accessing, deploying, and monitoring data processes.
  • Collaborate with team members to create queries, extract and compile raw data, and apply basic modification techniques to transform data.
  • Review and escalate alerts to maintain a data pipeline, assist with investigations, and implement basic solutions to minimize failures.
  • Follow troubleshooting guidance for reviewing, addressing, and fixing basic problems flagged by testing, and escalate complex issues as needed.

Qualifications

Basic Qualifications

  • Bachelor's degree, OR 3+ years of relevant work experience.
  • Experience in attending stakeholder meetings to gather requirements.
  • Experience in interpreting technical requirements and executing component designs.
  • Experience in creating and implementing code across assigned components.
  • Experience in participating in code review processes and applying feedback.
  • Experience in conducting unit testing and supporting code testing in a common environment.
  • Experience in developing tools and automation processes for data management.
  • Experience in collaborating with team members to extract, compile, and transform data.
  • Experience in reviewing and escalating alerts to maintain data pipelines.
  • Experience in troubleshooting and resolving basic issues in data pipelines.


Preferred Qualifications

  • 2 or more years of work experience.
  • •Experience with Hadoop, Hive, HBase, Spark, Trino, or comparable distributed data systems.• Data pipelines, ETL/ELT, data-quality frameworks, Java or Python, SQL, Git, and production troubleshooting.
  • Experience in contributing to the innovation process by applying knowledge of market trends and industry dynamics.
  • Experience in applying coding patterns, guidelines, and best practices.
  • Experience in using tools to investigate vulnerabilities in software code.
  • Experience in collaborating with team members to merge data into distributed systems, products, or tools.

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.

How we rate this

Data Engineer at Visa rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data PipelinesPythonSQLETLTestingChatGPTCopilotMicrosoft Copilot

Questions you could be asked

  1. Tell me about a project where data pipelines was part of your work. What did you do?
  2. Tell me about a project where python was part of your work. What did you do?
  3. Tell me about a project where sql was part of your work. What did you do?
  4. Tell me about a project where etl was part of your work. What did you do?
  5. Tell me about a project where testing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Pipelines, Python, SQL, ETL, and Testing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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