Staff Data Engineer - job 31 of 50

As a Staff Data Engineer at Visa Technology & Operations LLC, your primary responsibilities will include creating innovative solutions for our AI Platform, refactoring existing code for better performance, and collaborating with various stakeholders. You'll lead development efforts to deliver high-quality solutions that align with architectural goals and manage risks throughout the project lifecycle.

To be considered for the Staff Data Engineer role at Visa in Austin, candidates should have extensive experience in software development, an in-depth understanding of data engineering practices, and proficiency in programming languages commonly used in data processing. A strong ability to collaborate cross-functionally and communicate technical details in business-friendly terms is crucial.

Collaboration is at the heart of the Staff Data Engineer role at Visa Technology & Operations LLC. You will work alongside Product Managers, Architects, Analysts, and Software Engineers to ensure that the development and implementation of new data-driven solutions are seamless and effective, fostering a well-integrated approach to problem-solving.

The Staff Data Engineer at Visa will engage in all phases of solution development. This includes refining the code base and development processes, investigating requirements, and presenting technical capabilities in relatable business terms while ensuring timely delivery of solutions that meet all established standards.

Yes, the Staff Data Engineer position at Visa in Austin offers the flexibility of partial telecommuting, allowing you to maintain a healthy work-life balance while contributing to exciting projects in a collaborative environment.

In responding to this question, highlight your hands-on experience with data pipelines, data warehousing, or cloud-based solutions. Discuss specific projects where you have successfully implemented data engineering practices that align with the responsibilities of the Staff Data Engineer role.

Emphasize the importance of clear communication and active listening. Share examples where you have successfully collaborated with various teams to achieve common goals, showcasing your ability to translate technical details into business terms.

Discuss your proactive approach to identifying potential risks early in the development process, your experience with documenting and planning contingencies, and how you keep stakeholders informed throughout the project lifecycle.

Talk about the importance of code reviews, testing, and continuous integration practices that you employ to maintain high quality in your code. Illustrate how you refactor existing code to enhance performance and maintainability.

Share a specific example of a challenging project during your career, detailing your contributions, the obstacles faced, and the lessons learned. Highlight your problem-solving skills and your resilience in overcoming those hurdles.

Provide an overview of any projects where you utilized AI platforms or machine learning models. Discuss how this experience will help you contribute to Visa's AI initiatives as a Staff Data Engineer.

Describe your organizational skills and methodologies, such as Agile or Kanban, that you use to prioritize tasks effectively. Discuss how you based your decisions on project requirements, stakeholder inputs, and deadlines.

Discuss key concepts within data architecture, including scalability, data modeling, ETL processes, and cloud architectures. Relate these principles to the responsibilities you would have as a Staff Data Engineer at Visa.

Highlight your commitment to continued learning through webinars, professional organizations, and online courses. Mention how staying updated with new tools and technologies would allow you to contribute effectively in the rapidly evolving field of data engineering.

Explain the significance of documentation in maintaining clarity and ensuring that all stakeholders are on the same page. Discuss how thorough documentation supports better team collaboration and enhances the effectiveness of future development.