Data Engineer

About Visa

Visa stands as a global frontrunner in payment technology, enabling secure transactions among consumers, merchants, financial institutions, and governments across over 200 countries and territories. The company is dedicated to empowering everyone everywhere by offering the best methods to pay and be paid.

Employees at Visa have the opportunity to make a significant impact worldwide, tackling vital challenges while enhancing their professional skills and seeing their contributions affect lives on a global scale.

Role Overview

Data Engineers at Visa are skilled problem solvers and builders, focusing primarily on crafting, deploying, and refining software applications and systems. This role involves extensive hands-on coding, manipulating data, and working with modern technologies including AI-aided development, cloud platforms, and automation frameworks. The objective is to produce secure, scalable, and high-quality solutions that fuel business success within the fintech industry. Collaboration with interdisciplinary teams—including product managers, designers, data scientists, quality assurance, operations, and compliance—is critical to translating business needs into robust technical designs, while strictly observing best practices, security protocols, and regulatory obligations.

All roles demand proficiency with digital tools and emerging technologies such as Generative AI (e.g., ChatGPT, Microsoft Copilot) to enhance daily operations.

Key Responsibilities

• Engage with stakeholders to understand project requirements and familiarize with data ecosystem needs covering security, privacy, and data retention related to business and product innovations.
• Analyze technical specifications provided by senior engineers to develop component designs, document modules, and determine requirements for systems architecture, tools, and storage.
• Write and deploy code following coding standards, design patterns, and security protocols.
• Participate in code review sessions to improve code quality based on peer feedback and apply necessary revisions.
• Perform unit testing to verify code functionality, conduct coding standards and security scans, and support testing activities in shared environments.
• Assist in building tools and automations for data transformation, handling, deployment, and monitoring that operate on batch or real-time data streams.
• Work alongside team members to write queries for data extraction and compilation, employ orchestration techniques for automating extraction processes, and adapt raw data for downstream uses.
• Monitor and respond to alerts maintaining the data pipeline's health, investigate causes of alerts, and implement basic corrective solutions to reduce pipeline failures.
• Troubleshoot basic platform issues flagged during testing, escalating more complex problems as required.

Qualifications

• Minimum of a bachelor's degree or 3+ years of relevant experience.
• Proven experience engaging stakeholders to identify requirements for data engineering projects.
• Capability to interpret technical guidance and develop component designs under supervision.
• Proficiency in coding and adhering to coding and security standards.
• Experience in code review procedures and incorporating feedback to enhance code quality.
• Familiarity with unit testing and coordinated code testing in shared environments.
• Experience creating tools and automation for data management and processing.
• Collaborative experience in data extraction, compilation, and transformation.
• Ability to monitor data pipeline alerts and conduct escalation when necessary.
• Basic troubleshooting skills to resolve issues and anomalies in data engineering contexts.

• Preferred candidates have 2+ years’ professional experience.
• Experience in developing orchestration mechanisms to automate data extraction workflows.
• Skilled in making modifications to raw data to suit downstream system requirements.
• Background in investigating pipeline alerts and implementing remedial actions.
• Proven ability to follow troubleshooting procedures to fix testing anomalies.

Equal Opportunity Statement

Visa is committed to equal employment opportunity. Qualified candidates will be considered regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. The company also evaluates applicants with criminal histories fairly, consistent with EEOC guidelines and local regulations.