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Staff Data Engineer - job 42 of 50

The primary purpose of this role is to serve as a pivotal technical link between the Data Engineering team and the Product organization. Reporting directly to the Data Engineering department, this position will be responsible for executing and aligning data engineering strategies and processes in accordance with Technology Services standards. This person will work closely with the Data Solutions Product Manager to identify and undertake key projects and responsibilities that drive product development and innovation. As a bridge between technical and product realms, this role will ensure seamless integration of data engineering solutions into product initiatives, fostering a data-driven product development culture, and contributing to the overall growth and success of the organization.

 

Essential Functions:

  • Acts as a key player during meetings with stakeholders (e.g., Product teams, business partners, Cybersecurity) to identify and clarify requirements and determine business needs.
  • Identifies systems, architectures, tools, and storage needs that support the requirements for the application for a product.
  • Proficient in analyzing data for the purpose of intentional database design, discovering new potential data use cases and articulating technical requirements.
  • Implements extensible, maintainable and reusable code, using appropriate coding patterns, guidelines, styles and best practices, informally mentoring others, and adheres to all security requirements.
  • Independently conducts unit testing to confirm functional capability of code. Conducts tests for coding standards and security scans. Conducts user acceptance testing in collaboration with customer.
  • Builds tools and standard automation processes that assist in transforming, managing, accessing, deploying, and monitoring data processes in batches and in real time.
  • Independently writes queries to extract and compile raw data across end-to-end pipelines.
  • Implements and monitors self-healing processes across multiple product features to prevent recurring issues, maintain and improve data quality and pipeline, and optimize performance throughout the data lifecycle.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

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

Join Mentor as a Staff Data Engineer and become an integral part of our dynamic Data Engineering team! In this role, you’ll be the vital technical link between our passionate Data Engineers and the innovative Product organization. You'll have the exciting responsibility of executing and aligning our data engineering strategies with industry-leading Technology Services standards. Working closely with the Data Solutions Product Manager, you’ll tackle key projects that drive product development and foster a culture of data-driven innovation. You’ll play a pivotal role in meetings with stakeholders, helping to identify requirements that will influence our business direction. With your expertise, you’ll analyze data to uncover potential use cases, all while ensuring that your code is extensible, maintainable, and secure. Your knack for writing efficient queries and building automated tools will help transform the way we manage and access data. This hybrid position allows you to balance remote work with in-office collaboration 2-3 days a week, reinforcing the teamwork that drives our success. If you're ready to elevate our product initiatives and ensure seamless integration of data engineering solutions, we'd love to hear from you and explore how you can contribute to Mentor’s growth!

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at Visa
What are the primary responsibilities of a Staff Data Engineer at Mentor?

At Mentor, a Staff Data Engineer plays a crucial role by serving as a bridge between the Data Engineering team and the Product organization. This includes collaborating on identifying requirements with stakeholders, implementing robust data solutions, and ensuring that the code deployed adheres to security and best practices. Additionally, this role involves building automation processes to manage and monitor data effectively throughout its lifecycle.

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What qualifications are required for the Staff Data Engineer position at Mentor?

To excel as a Staff Data Engineer at Mentor, candidates typically need a strong background in data engineering, experience with database design, and proficiency in coding languages relevant to data solutions. A solid understanding of data integrity, analysis, and architecture is also essential, along with the ability to communicate technical requirements clearly to non-technical stakeholders.

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How does hybrid work operate for the Staff Data Engineer role at Mentor?

In the Staff Data Engineer role at Mentor, you’ll enjoy a hybrid work arrangement that encourages flexibility. Employees are expected to work from the office for 2-3 designated days a week, with remote work options available for the remainder of the time. This balance allows for collaborative in-person team efforts while still providing the convenience of remote productivity.

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What skills are essential for a Staff Data Engineer at Mentor?

Essential skills for a Staff Data Engineer at Mentor include proficiency in data analysis, database technologies, coding best practices, and experience with automation and monitoring tools. Strong problem-solving abilities and excellent communication skills are vital, as you’ll be interacting with various stakeholders to ensure data engineering solutions meet business needs.

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What is the work culture like for a Staff Data Engineer at Mentor?

The work culture at Mentor for a Staff Data Engineer is collaborative, innovative, and data-driven. Team members are encouraged to share ideas and mentor one another, fostering a supportive environment that values continuous learning and improvement. As a member of the Data Engineering team, you’ll be part of a dynamic group dedicated to pushing the boundaries of what’s possible with data.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with data architecture and how it applies to the Staff Data Engineer role?

In interviews, focus on specific projects where you've designed or improved data architectures. Highlight your decision-making process, the technologies you’ve used, and how your contributions benefited the organization, aligning with the expectations for a Staff Data Engineer.

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How do you stay updated with industry best practices in data engineering?

Discuss your methods for staying current, such as attending workshops, following relevant publications, or participating in professional networks. Mention how this knowledge enhances your performance as a Staff Data Engineer at Mentor.

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What tools and technologies are you proficient in that would aid your role as a Staff Data Engineer?

Be prepared to list specific tools, software, and programming languages you're familiar with. Discuss their relevance to the responsibilities at Mentor and articulate how you've effectively utilized them in past projects.

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Can you provide an example of a complex problem you solved involving data?

Share a detailed example showcasing your analytical skills and problem-solving abilities. Emphasize both the challenge and the innovative solution, illustrating how such an experience makes you a great fit for the Staff Data Engineer role.

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How do you ensure data quality within your projects?

Discuss the methods and frameworks you employ to maintain data quality, such as automated testing, data validation techniques, and regular maintenance processes. Relate this to the practices expected from a Staff Data Engineer at Mentor.

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Describe how you handle stakeholder communication as a Staff Data Engineer.

Highlight your strategies for engaging with stakeholders, including how you gather requirements, present technical concepts, and ensure alignment with business objectives. Effective communication is critical in the Staff Data Engineer position at Mentor.

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What is your approach to writing maintainable and scalable code?

Share your coding practices and principles that contribute to maintainability and scalability. Discuss specific examples from your experience and relate them to best practices relevant to the role at Mentor.

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How do you approach mentoring junior engineers?

Talk about your philosophy on mentoring, any past experiences, and the techniques you find effective in guiding junior engineers. This is vital for a Staff Data Engineer at Mentor, who is expected to informally mentor others.

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What strategies do you employ for optimizing data pipelines?

Describe specific methodologies you've used to streamline data pipelines, focusing on aspects like performance optimization, error handling, and ensuring efficiency. Relate these strategies to the responsibilities outlined for the Staff Data Engineer.

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How do you conduct unit testing and user acceptance testing?

Explain your testing strategies, including the importance of unit and user acceptance testing in the development process. Describe tools and frameworks you’ve employed, and how these practices would benefit your role at Mentor as a Staff Data Engineer.

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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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