Staff Data Engineer - job 38 of 50

As a Staff Data Engineer at Visa Technology & Operations LLC, your key responsibilities include creating new capabilities for the AI Platform, refactoring code for better performance, collaborating with cross-functional teams, and driving end-to-end development of data solutions. You will also present technical solutions in business terms and proactively manage project risks and issues.

To excel as a Staff Data Engineer at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, software development, and system architecture, along with proficiency in programming languages and tools relevant to the role. A degree in Computer Science, Engineering, or a related field is often required, and experience with AI platforms and data-driven business solutions is an asset.

In this role at Visa Technology & Operations LLC, a Staff Data Engineer will engage in fascinating projects, focusing on creating capabilities for the AI Platform while also refining existing code bases. Projects can range from developing innovative data solutions to collaborating with product teams on delivering business solutions that leverage cutting-edge technology.

Yes! While the Staff Data Engineer position at Visa Technology & Operations LLC is based in Austin, TX, it does offer some flexibility for partial telecommuting. This allows engineers to balance their personal and work lives while contributing to important projects.

Essential skills for a Staff Data Engineer at Visa Technology & Operations LLC include strong programming skills, an understanding of data architecture, the ability to collaborate effectively with various teams, and a knack for problem-solving. Communication skills are crucial for articulating technical concepts in accessible terms for stakeholders.

When answering this question, detail the specific changes you implemented to enhance performance, focusing on techniques such as code refactoring, the adoption of new technologies, or optimizing database queries. Highlight the measurable outcomes, like reduced load times or improved response rates, to illustrate the impact of your contributions.

Discuss your approach to identifying potential risks at the outset of a project, such as resource limitations or technological challenges. Emphasize your skills in tracking and mitigating those risks through contingency planning and regular communication with stakeholders, demonstrating your proactive stance towards risk management.

In your response, share details of your experience working with AI platforms, including any specific tools or frameworks you're proficient in. Discuss projects where you utilized data engineering principles to develop data-driven solutions, ensuring you highlight the relevance of your experience to the role at Visa.

Illustrate your organizational skills by outlining the methods you use to prioritize tasks, such as Agile methodologies or project management tools. Discuss how you balance multiple requests and deadlines while maintaining high-quality work, citing specific examples to provide context.

Detail your strategies for fostering collaboration, such as regular check-ins, using collaborative tools, or establishing clear communication channels. Stress the importance of collaboration in creating successful projects and share experiences where your initiatives led to more cohesive team dynamics.

Mention the programming languages relevant to the role, such as Python, Java, or SQL, and provide examples of how you've utilized them in your prior work. Highlight any libraries or frameworks you're skilled at which could add value to Visa Technology & Operations LLC.

When answering, illustrate how you distilled complex technical concepts into layman's terms, ensuring clarity and discussion. Focus on tailoring your presentation to the audience's interests and backgrounds, which can enhance their understanding and facilitate informed decision-making.

Explain your methodology for code refactoring, including steps like assessing current functionality, determining bottlenecks, and identifying opportunities for optimization. Detail your commitment to maintaining code quality and stability throughout the refactoring process, supported by relevant examples.

Discuss your strategies for continuous learning, such as attending industry conferences, participating in online courses, or following influential thought leaders in data engineering and AI. Mention specific resources or communities you engage with to enhance your expertise and keep your skills relevant.

Share your conflict resolution strategies, emphasizing the importance of open communication, active listening, and collaboration. Provide examples of past experiences where you successfully navigated team disagreements to maintain project momentum and foster a positive work environment.