Staff Data Engineer - job 44 of 50

As a Staff Data Engineer at Visa Technology & Operations LLC, your main responsibilities include creating new capabilities for our AI platform, investigating new requirements, designing and refactoring code for performance and maintainability, and collaborating with a diverse range of project teammates to develop and implement data-driven solutions. You'll drive the end-to-end development process, document and manage risks, and communicate effectively with stakeholders about project statuses and technical solutions.

Candidates applying for the Staff Data Engineer position at Visa Technology & Operations LLC should have a strong foundation in data engineering principles, programming languages such as Python or Java, and experience with data modeling, ETL processes, and cloud platforms. Familiarity with AI technologies, agile methodologies, and collaboration tools is also highly beneficial as you work alongside various team members to craft data-driven business solutions.

Yes, the Staff Data Engineer position at Visa Technology & Operations LLC allows for partial telecommuting. This flexibility is designed to enhance work-life balance while still prioritizing collaboration and communication with the Austin-based team as you drive high-quality project outcomes.

In your role as a Staff Data Engineer at Visa Technology & Operations LLC, you will work on diverse projects that involve creating new capabilities for AI platforms, improving code performance, and developing innovative, data-driven business solutions. Your projects will span all phases of solution development, giving you the opportunity to contribute to significant advancements in digital payments technology.

As a Staff Data Engineer at Visa Technology & Operations LLC, you can expect to work in a collaborative and dynamic team environment. You will engage with Product Managers, Architects, Analysts, and fellow Software Engineers, fostering a culture of teamwork and open communication to effectively drive project success and innovation.

When answering this question, highlight specific data engineering tools and technologies you have worked with, such as SQL, Python, Apache Spark, or cloud platforms like AWS or Azure. Provide examples of projects where you successfully utilized these tools to solve problems or improve processes.

Use the STAR (Situation, Task, Action, Result) method to structure your response. Describe the context of the problem, your role in addressing it, the specific steps you took to solve it, and the ultimate impact it had on the project or organization. Emphasize your analytical and problem-solving skills as a Staff Data Engineer.

Discuss your coding best practices, including writing clean, maintainable code, performing code reviews, and using testing frameworks. Mention any experience you have with performance tuning and monitoring tools, and how these practices helped ensure high-quality outputs in your previous roles.

Share specific instances where you worked closely with colleagues from different departments, such as product management or analytics. Highlight your ability to communicate technical concepts clearly and collaborate to achieve project goals—traits that are vital for a Staff Data Engineer at Visa Technology & Operations LLC.

Explain your approach to project management, including how you prioritize tasks, set realistic deadlines, and monitor progress. Highlight any tools or methodologies you use, such as Agile or Scrum, and provide examples of how these strategies led to successful project deliveries.

Mention the resources you use to stay informed, like online courses, blogs, webinars, or professional groups related to data engineering. Share any recent topics you learned about and how you plan to implement new technologies or methods in your work as a Staff Data Engineer.

Identify the programming languages you are proficient in, focusing on those relevant to the Staff Data Engineer role, such as Python or Java. Explain how you have used these languages in project scenarios and how they contribute to your capabilities in data engineering.

Frame your response to showcase your conflict resolution skills. Use a specific scenario in which you addressed a disagreement or misunderstanding with a team member. Discuss the approach you took to communicate effectively and find a resolution that supported project success.

Articulate the significance of data governance in data integrity, compliance, and security. Explain how you incorporate data governance principles into your work, especially regarding the solutions you develop as a Staff Data Engineer.

Outline your thought process for implementing new data solutions, including assessing requirements, planning the architecture, collaborating with team members, and coding. Highlight your attention to detail and commitment to adhering to quality standards throughout the implementation process.