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Staff Data Engineer - job 27 of 50

Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Austin, TX to:

  • Work on creating new capabilities for AI Platform while maturing the company's code base and development processes.
  • Investigate new requirements and design of code base.
  • Refactor existing functionality for performance and maintainability.
  • Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
  • Drive development effort End-to-End for timely delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards.
  • Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
  • Responsibilities span all phases of solution development.
  • Present technical solutions, capabilities, considerations, and features in business terms.
  • Communicate status, issues, and risks in a detailed and timely manner.
  • Position reports to the Austin, Texas office and may allow for partial telecommuting.

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Data Engineer, Visa

Are you ready to take your data engineering skills to the next level? Visa Technology & Operations LLC is on the lookout for talented Staff Data Engineers to join our dynamic team in Austin, TX! In this role, you’ll work on exciting projects creating new capabilities for our AI Platform while helping to mature our code base and improve development processes. This isn't just about writing code—it's about investigating new requirements, designing robust solutions, and refactoring existing functionalities to enhance performance and maintainability. Collaboration is key at Visa; you'll partner with an array of skilled professionals, including Product Managers, Architects, Analysts, and Software Engineers, to develop and implement innovative data-driven business solutions. Your expertise will drive the end-to-end development efforts, ensuring that high-quality, timely solutions are delivered and meet our architectural vision. You’ll also engage with senior technical staff and project managers to identify and manage risks throughout the development lifecycle. This position allows you to communicate complex technical concepts in understandable business terms, providing invaluable updates on project status, issues, and risks. Located in our Austin office, this position offers the flexibility of partial telecommuting, providing the perfect balance for your work and personal life. Join us at Visa to leverage your skills and make a significant impact in the world of data engineering!

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at Visa
What are the main responsibilities of a Staff Data Engineer at Visa Technology & Operations LLC?

As a Staff Data Engineer at Visa Technology & Operations LLC, your key responsibilities include developing new capabilities for the AI Platform, refactoring existing code for better performance, and collaborating with various project team members to deliver data-driven solutions. You will be involved in all phases of solution development, communicating technical needs in business terms, managing project timelines, and tracking risks until resolution.

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What qualifications are required for the Staff Data Engineer position at Visa Technology & Operations LLC?

To be considered for the Staff Data Engineer position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, software development experience (particularly in data-heavy applications), and familiarity with programming languages like Python or Java. Additionally, experience in designing scalable architecture and collaborating in cross-functional teams is highly valued.

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Can the Staff Data Engineer position at Visa Technology & Operations LLC accommodate remote work?

Yes, the Staff Data Engineer position at Visa Technology & Operations LLC offers the flexibility of partial telecommuting. While you will primarily report to the Austin, Texas office, there is room to work remotely, allowing you to maintain a work-life balance that's suitable for you.

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How does collaboration work for a Staff Data Engineer at Visa Technology & Operations LLC?

Collaboration is a core aspect of the role for Staff Data Engineers at Visa Technology & Operations LLC. You'll work closely with Product Managers, Analysts, Architects, and other Software Engineers to ensure that development processes align with project goals and meet company standards. Regular communication ensures that everyone's input is valued and that projects stay on track.

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What kind of projects will a Staff Data Engineer work on at Visa Technology & Operations LLC?

As a Staff Data Engineer at Visa Technology & Operations LLC, you'll work on diverse projects such as enhancing the capabilities of the AI Platform, refactoring existing code bases for improvement, and implementing new data solutions that support business objectives. Your work will span all phases of solution development, making for an exciting and varied workload.

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Common Interview Questions for Staff Data Engineer
Can you explain your approach to refactoring code?

When answering this question, emphasize your strategy for improving existing code, such as breaking down code into manageable chunks, understanding the current functionality, and testing thoroughly before and after changes. Mention the importance of documentation and how refactoring can enhance performance and maintainability.

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How do you ensure that your code aligns with architectural standards?

Discuss your process for reviewing architectural documents, collaborating with architects, and adhering to coding best practices. Highlight any tools or methodologies you use to ensure compliance, such as design reviews, code reviews, or automated testing frameworks.

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Describe a time when you faced a significant challenge during a project.

Use the STAR method (Situation, Task, Action, Result) to frame your response. Talk about the specific challenge, the steps you took to address it, and the outcome. This showcases your problem-solving skills and ability to handle adversity effectively.

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What tools do you use for data engineering, and why?

Mention specific tools you are familiar with, such as Apache Spark, Hadoop, or SQL-based systems. Explain your reasoning behind choosing these tools, emphasizing their efficiency, scalability, or integration capabilities that align with business solutions.

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How do you manage risks in project development?

Talk about your proactive approach to identifying potential risks early through analysis and team discussions. Describe your methods for documenting and tracking these risks and the tools you use for effective risk management throughout project phases.

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What is your experience with Agile methodologies?

Discuss your familiarity with Agile frameworks, how you've applied them in past projects, and the importance of flexibility and collaboration within Agile teams. Point out how Agile practices improve responsiveness to changing requirements.

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How do you communicate complex data concepts to non-technical stakeholders?

Emphasize the importance of understanding your audience. Describe how you simplify complex information using visual aids or analogies while focusing on the business implications of the data solutions you're presenting.

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What steps do you take to ensure the quality of your data solutions?

Outline your methods for testing and quality assurance, including writing unit tests, performing code reviews, and using monitoring tools to ensure data integrity and accuracy post-implementation.

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How do you stay updated with the latest trends and technologies in data engineering?

Share the resources you utilize, such as online courses, webinars, industry conferences, and tech blogs. Mention your commitment to continual learning and how you implement new technologies and methodologies in your work.

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What motivates you about becoming a Staff Data Engineer at Visa Technology & Operations LLC?

Express your enthusiasm for Visa's innovation in technology and data solutions. Highlight your passion for driving impactful projects that enhance user experience and how that aligns with your personal and professional goals.

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Full-time, hybrid
DATE POSTED
April 3, 2025

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