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Data Engineer - Sr. Consultant level - job 17 of 19

Visa Technology & Operations LLC, a Visa Inc. company, needs a Data Engineer - Sr. Consultant level (multiple openings) in Austin, TX t:o

 

  • Design, enhance, and build next generation fraud detection solutions in an agile development environment.
  • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
  • Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision and comply with all applicable standards.
  • Responsibilities span all phases of solution development.
  • Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
  • Work with architects where applicable or work as architect with senior technologists to develop architecture and design.
  • Lead team to deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.
  • Identify proper service metrics and measurements for ensuring performance against Service Level Agreement.
  • Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
  • Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists.
  • Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed.
  • Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
  • Execute data engineering projects ranging from small to large either individually or as part of a project team.
  • Ensure project delivery within timelines and budget requirements.
  • Mentor and train other juniors on the team on key solutions.
  • Work on multiple projects and initiatives with different/competing timelines and demands.
  • Present technical solutions, capabilities, considerations, and features in business terms.
  • Effectively communicate status, issues, and risks in a precise and timely manner.
  • Position reports to the Employer’s Austin, TX office and may allow for partial telecommuting.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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 Data Engineer - Sr. Consultant level , Visa

Visa Technology & Operations LLC, a part of Visa Inc., is on the lookout for a passionate and experienced Data Engineer - Sr. Consultant level based in the vibrant city of Austin, TX. In this exciting role, you will play a pivotal part in designing, enhancing, and building next-generation fraud detection solutions within a fast-paced agile environment. Imagine taking complex business problems and transforming them into technical data challenges that align with key business drivers. You'll collaborate closely with product stakeholders to drive the end-to-end development of high-quality solutions that meet the architectural vision and adhere to standards. With responsibilities covering all phases of solution development, you'll work alongside fellow project team members—Product Managers, Architects, Analysts, and Developers—to craft innovative, data-driven business solutions. Your expertise will not only help in delivering on-time code commitments but also extend to mentoring juniors and identifying opportunities to create and automate repeatable analyses. Your role will involve evaluating service metrics and ensuring performance aligns with agreed Service Level Agreements. As a Data Engineer – Sr. Consultant at Visa, your contributions will enable our data scientists with self-serve tools and analytics, ensuring data governance and system functionality is top-notch. This position offers a blend of challenge and opportunity, allowing you to work on multiple projects while presenting technical insights in relatable terms. If you thrive in dynamic environments and are looking to make a significant impact, then this role in Austin is an exciting opportunity you won’t want to miss!

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

As a Data Engineer - Sr. Consultant at Visa Technology & Operations LLC, your main responsibilities will include designing and enhancing fraud detection solutions, transforming business problems into technical data challenges, driving end-to-end development, collaborating with various team members, and mentoring junior staff. You will also be tasked with ensuring project delivery within timelines and budgets, as well as maintaining robust data engineering processes.

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What qualifications are required for the Data Engineer - Sr. Consultant position at Visa?

To apply for the Data Engineer - Sr. Consultant position at Visa Technology & Operations LLC, candidates should have a strong background in data engineering, proficiency in programming languages such as Python or Java, and experience with data modeling and analytics tools. A bachelor’s degree in computer science or a related field is typically expected, along with relevant industry experience.

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How does the Data Engineer - Sr. Consultant role at Visa contribute to fraud detection solutions?

The Data Engineer - Sr. Consultant at Visa contributes to fraud detection solutions by designing and building advanced data systems that analyze patterns to detect fraud. This role involves working closely with product teams to align technical solutions with business needs, ensuring that all data-driven insights are actionable and effective in combating potential fraud attempts.

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What type of projects can a Data Engineer - Sr. Consultant expect to work on at Visa?

In the Data Engineer - Sr. Consultant role at Visa, you can expect to work on a variety of projects ranging from developing self-serve tools for data scientists to implementing important data governance initiatives. Projects can vary in size and complexity, offering a blend of challenges that will allow you to leverage your expertise and innovate within the data engineering space.

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What is the team structure for the Data Engineer - Sr. Consultant position at Visa Technology & Operations LLC?

At Visa Technology & Operations LLC, the Data Engineer - Sr. Consultant will work within a collaborative team structure that includes Product Managers, Architects, Analysts, and Developers. This cross-functional environment encourages communication and teamwork to develop high-quality and innovative data-driven solutions.

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Common Interview Questions for Data Engineer - Sr. Consultant level
Can you explain your experience with data modeling?

In your response, highlight specific data modeling projects you've undertaken, the tools you used, and how your models contributed to the business outcomes. Discuss your methodology for transforming business requirements into data structures.

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What programming languages are you most proficient in and why do you prefer them?

Mention the programming languages you are most comfortable with, such as Python or Java, and explain your preference based on factors like ease of use, community support, and efficiency in solving data engineering challenges.

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Describe a challenging data project you worked on. How did you overcome the hurdles?

Choose a specific project and discuss the challenges faced—whether technical, organizational, or deadline-related—illustrating your problem-solving approach and the strategies that led to successful project completion.

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How do you ensure the quality of data in your projects?

Discuss specific strategies such as data validation, regular audits, and implementing automated testing processes that you use to maintain data quality. Providing examples of how these strategies improved project outcomes can be compelling.

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How do you approach collaborating with product stakeholders?

Explain your collaborative process with stakeholders, such as holding regular meetings, utilizing feedback for improvements, and how you align technical data solutions with their business objectives to ensure successful project alignment.

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What experience do you have with cloud platforms for data engineering?

Share your familiarity with cloud platforms like AWS or Azure, detailing any specific projects where you utilized these platforms for data storage, processing, or analytics, and how they enhanced your data engineering workflows.

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Can you give an example of how you've automated a data engineering task?

Describe a particular task you automated, the tools you used, and the impact this had on efficiency and error reduction within your team or the project it supported, showcasing your ability to streamline processes.

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In your opinion, what are the key metrics for evaluating data engineering performance?

Discuss metrics that you consider critical, such as data processing speed, accuracy rates, and system performance against SLAs. Explain how you use these metrics to assess and improve your data engineering efforts.

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How do you prioritize tasks when working on multiple data projects?

Detail your process for prioritizing tasks, which may involve discussing the urgency and impact of each task, using project management tools, and ensuring communication with your team to align on objectives.

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What steps do you take to stay updated with the latest trends in data engineering?

Mention methods you use to stay informed, such as following industry blogs, attending webinars, participating in forums, or taking relevant courses. Discuss any specific areas of data engineering that excite you and why.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 3, 2025

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