Title: Staff Data Engineer Location: Austin, TX, United States Job Description: Full-time Job Family Group: Technology and Operations Company Description 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 As a Staff Data Engineer, you'll join our Value Added Services – Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: - Lead projects involving the full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services. - Spearhead the development of next-generation software incorporating machine learning and deep learning technologies. - Ensure services are highly available, secure, scalable, and resilient. - Drive innovation to differentiate our products and accelerate time-to-market delivery. - Utilize containerization technologies such as Docker and Kubernetes, and expertise in Java, Spring Boot, React, and both relational and non-relational databases. - Apply your data engineering skills with Hadoop, Spark, and Scala. - Represent the team in various technical forums and build deep partnerships with product management. - Analyze business requirements to architect highly secure, robust, and scalable solutions. - Lead internal proof of concept initiatives and quickly design and implement prototypes. - Champion efforts to design and implement components of our global transaction processing systems. - Follow and create software best practices and processes. - Mentor team members and create an atmosphere of mutual accountability. - Play a key role in meetings and discussions with cross-functional and non-technical teams. Essential Functions: - Collaborate with customers to understand their requirements and build solutions that deliver real value. - Architect, design, and implement secure, robust, and scalable solutions. - Drive proof of concept initiatives and lead implementation. - Mentor team members and foster a culture of mutual accountability. - Engage in meetings and discussions with cross-functional teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. ​ Qualifications Basic 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 Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. Expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes). Proficiency in creating and managing large-scale data pipelines and machine learning models. Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. Strong experience with UI technologies (Redux, React.js, HTML5, CSS4, jQuery/JavaScript). Familiarity with Agile development, TDD, CI/CD, and various databases. Proven track record of building reliable, scalable, and operable applications. Ability to manage component security analysis and collaborate with security teams. Strong work ethic, focus on immediate goals, and proven experience as a technical leader. Passion for mentoring and helping juniors grow professionally. Excellent communication and interpersonal skills, and a strong team player. 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 this position is 131,600.00 to 210,300 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.

• Design, develop, and maintain scalable, high-performance data infrastructure • Build reliable, reusable services and APIs for data platform interaction • Build software tools for monitoring and managing ML infrastructure • Collaborate with senior management and other engineers in the development of data products • Develop tools to monitor, debug, and analyze data and ML pipelines • Design and implement data schemas and models that can scale • Mentor team members to build overall expertise

• Develop and maintain scalable data pipelines to support business requirements. • Collaborate with cross-functional teams to gather and analyze data requirements. • Implement data integration solutions using ETL tools and technologies. • Optimize and improve data processing workflows to enhance performance. • Ensure data quality and integrity through rigorous testing and validation.

• Architect and maintain cutting-edge data systems that power analytics, AI, and operational decision-making. • Take ownership of end-to-end data lifecycles, designing pipelines, models, and architectures that support real-time insights and machine learning at scale. • Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases. • Automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI. • Manage ingestion, storage, processing, and delivery of structured and unstructured data. • Continuously tune infrastructure for high concurrency, low latency, and cost efficiency. • Ingest telemetry, API, and application data in real time to power dashboards and AI-driven tools. • Provision datasets for ML/AI workloads, integrating with SageMaker, Snowflake ML, and MLOps best practices. • Ensure robust data governance, compliance (GDPR, SOC 2), and enterprise-grade security. • Work closely with Product, Engineering, DevOps, and Analytics teams to align data solutions with business goals.