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Staff Data Engineer - job 50 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

$100000 / YEARLY (est.)
min
max
$80000K
$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

As a Staff Data Engineer at Mentor, you'll play a crucial role serving as the technical link between our Data Engineering team and the Product organization. In this hybrid position, you'll be key in executing and aligning data engineering strategies in line with Technology Services standards. Working closely with the Data Solutions Product Manager, you'll embark on exciting projects to drive product development and innovation. Your expertise will be essential during discussions with stakeholders across various departments, helping pinpoint and clarify requirements that meet business needs. Proficiency in analyzing data and intentional database design will empower you to discover new use cases and articulate technical requirements effectively. You'll be responsible for writing clean, maintainable code while guiding others in adhering to best practices. You'll also perform unit testing, conduct user acceptance testing with customers, and build tools that enhance data processes. Your role will involve ensuring the seamless integration of data engineering solutions into product initiatives while fostering a data-driven culture. By implementing self-healing processes, you'll optimize the performance of our data pipelines and maintain data quality. With the flexibility of hybrid work, you’ll have a dynamic balance between remote work and office engagement, fostering collaboration while being able to manage your time effectively.

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

As a Staff Data Engineer at Mentor, your primary responsibilities include serving as a technical bridge between the Data Engineering and Product teams. You’ll identify and clarify requirements in meetings with stakeholders, analyze data, design databases, and implement maintainable code while mentoring others. Additionally, you’ll conduct unit and user acceptance testing and build tools to manage and monitor data processes efficiently.

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What qualifications do I need to be a Staff Data Engineer at Mentor?

To qualify for the Staff Data Engineer position at Mentor, candidates typically need a strong background in data engineering principles, proficiency in coding and database design, and excellent analytical skills. Familiarity with coding patterns, testing practices, and experience with data management tools are essential to thrive in this role.

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How does the Staff Data Engineer collaborate with other teams at Mentor?

The Staff Data Engineer collaborates closely with various teams, including Product and Cybersecurity, to identify business needs and clarify requirements. You will participate in stakeholder meetings to ensure data engineering solutions align with product initiatives while fostering a culture of data-driven decision-making within the organization.

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What kind of projects would a Staff Data Engineer undertake at Mentor?

At Mentor, a Staff Data Engineer might work on projects that involve developing new data pipelines, creating tools for data transformation and monitoring, and optimizing existing data processes. These projects are aimed at enhancing product development and driving innovation, ensuring data flows seamlessly from end to end.

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What benefits come with the hybrid position of a Staff Data Engineer at Mentor?

The hybrid position of a Staff Data Engineer at Mentor allows for a flexible work environment, with the benefit of alternating between remote work and in-office collaboration. This setup supports better work-life balance while still providing opportunities for team engagement and participation in critical meetings.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with database design as a Data Engineer?

When answering this question, highlight specific examples of database projects you've completed, the design principles you applied, and how your designs improved data accessibility and efficiency. Emphasize your analytical skills and ability to proactively identify data use cases.

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How do you ensure the quality of your code?

Discuss your approach to writing clean, maintainable code while adhering to best practices. Mention your experience with unit testing, code reviews, and tools used for security scanning to ensure your code meets high-quality standards.

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What tools and technologies are you proficient with in data engineering?

Be prepared to list the specific tools, programming languages, and frameworks you have used, such as SQL, Python, or big data technologies. Provide examples of how you've leveraged these tools to solve data engineering problems effectively.

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Describe a complex data pipeline you have developed in the past.

Detail the goals of the data pipeline, the challenges you faced, and the solutions you implemented. Discuss the technologies used and how the pipeline optimized data processing or improved overall performance.

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How do you handle stakeholder requirements in data engineering projects?

Explain your process for gathering and clarifying requirements from stakeholders, and how you communicate technical needs in a way that aligns with business objectives. Share experiences where collaboration led to successful project outcomes.

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What strategies do you use for data transformation and monitoring?

Discuss the techniques you use for data transformation, such as ETL processes or data cleansing. Also, mention any monitoring solutions you’ve implemented to ensure data quality and pipeline performance remains robust.

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How would you approach mentoring junior data engineers?

Share your philosophy on mentorship, focusing on providing guidance through hands-on practice, code reviews, and sharing best practices. Highlight your understanding of the importance of fostering growth in junior team members.

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Tell us about a time when you identified a data issue and resolved it.

Use the STAR method (Situation, Task, Action, Result) to describe the data issue's context, the steps you took to diagnose and fix it, and the positive outcome that resulted from your actions.

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What are your thoughts on implementing self-healing processes in data pipelines?

Discuss the importance of building resilient data systems. Highlight your experience with automating error handling and recovery processes, and how this contributes to improved data quality and reliability in projects.

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What excites you about the Staff Data Engineer position at Mentor?

Express your enthusiasm for working on innovative projects that contribute to product development and your interest in being part of a collaborative team dynamic. Highlight how your goals align with Mentor's mission and growth objectives.

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April 3, 2025

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