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Staff Data Engineer - job 29 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

Join Mentor as a Staff Data Engineer, where you’ll play an integral role in connecting the dots between our Data Engineering team and the Product organization. In this key position, you will collaborate closely with the Data Solutions Product Manager, diving into exciting projects that stimulate product innovation and development. You will be the bridge that ensures our data engineering solutions seamlessly integrate into product initiatives, cultivating a thriving data-driven culture that propels Mentor forward. Your responsibilities will include engaging with stakeholders to clarify requirements, identifying necessary systems and architectures, and designing intentional databases that unveil new data use cases. Proficiency in building maintainable code, conducting unit tests, and ensuring your work adheres to security standards will be essential. You're also going to have a hand in crafting automation processes that manage our data effectively, as well as writing queries to manipulate raw data throughout its lifecycle. With the flexibility of a hybrid work model, you’ll spend around half your time in our office, where you can collaborate face-to-face with our dynamic teams. This is a fantastic opportunity for a tech-savvy individual who’s eager to contribute to Mentor’s success while advancing their own career in the fast-paced world of data engineering.

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

As a Staff Data Engineer at Mentor, you will be responsible for connecting the Data Engineering team with the Product organization, executing key data engineering strategies, and ensuring seamless integration of data solutions in product initiatives. This includes clarifying requirements with stakeholders, developing database designs, writing and optimizing code, and building automation processes for data management.

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What qualifications are needed to become a Staff Data Engineer at Mentor?

To qualify for the Staff Data Engineer role at Mentor, candidates typically need to have a strong background in data engineering, proficiency in database design, and experience with coding best practices. Familiarity with data processing tools, excellent analytical skills, and a proven track record of collaborating with cross-functional teams are also essential.

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

At Mentor, the work environment for a Staff Data Engineer is hybrid, blending both remote and in-office work. Employees are expected to work in the office 2-3 days a week, offering a flexible arrangement that encourages collaboration while allowing you to enjoy the benefits of remote work. This structure helps maintain a balance between teamwork and individual productivity.

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How does the Staff Data Engineer position contribute to product innovation at Mentor?

The Staff Data Engineer at Mentor significantly contributes to product innovation by acting as a liaison between technical and product teams. By understanding and relaying user requirements, identifying data use cases, and implementing data engineering solutions, this role drives the development of innovative products that meet user needs while ensuring data integrity and quality.

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What tools and technologies should a Staff Data Engineer at Mentor be familiar with?

A Staff Data Engineer at Mentor should be familiar with various tools and technologies used in data engineering, including database management systems, data processing frameworks, and automation tools. Proficiency in writing SQL queries and experience with coding languages geared towards data transformation and management are also advantageous.

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Common Interview Questions for Staff Data Engineer
What techniques do you use for database design as a Staff Data Engineer?

When answering this question, emphasize your methodology for database design, including normalization, relationships between entities, and best practices for performance optimization. Share specific examples from your past work, showcasing how your designs solved particular data challenges.

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Can you describe a project where you improved data quality and pipeline performance?

In your response, outline a specific project where you addressed data quality issues or optimized data pipelines. Discuss the steps you took, the technologies you used, and the impact of your work on overall operational efficiency. Highlight metrics if possible to illustrate your success.

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How do you approach cross-team collaboration in your role as a Staff Data Engineer?

When responding, highlight your communication strategies for working with different teams. Discuss how you ensure clarity of requirements, actively listen to stakeholders, and adapt your technical insights to suit various audiences. Give examples of successful collaborative projects to strengthen your response.

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What methods do you use for unit testing your code?

Discuss your systematic approach to unit testing. Mention the tools you prefer and how you design tests to cover various scenarios. Highlight your methodologies for identifying and rectifying errors effectively to ensure functionality and stability in your code.

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Explain a scenario where you had to mentor a colleague as a Staff Data Engineer.

Here, you should describe a mentoring experience, focusing on the nature of your support and guidance. Emphasize the technical skills you shared and how you fostered their growth, showcasing your leadership abilities in technical environments.

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What data processing frameworks are you most comfortable with?

In answering this question, list frameworks you have experience with, such as Apache Spark or Hadoop. Discuss specific projects where you utilized these tools, detailing how they contributed to solving data-related challenges.

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How do you ensure security in your data engineering practices?

Detail your approach to security, referencing specific practices such as code reviews, security testing, and compliance with standards. Mention any frameworks or guidelines you're familiar with, and how these contribute to maintaining secure data processes.

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What is your experience with automation processes in data management?

Discuss your experience in automating data workflows and processes. Provide examples where automation improved efficiency or reduced errors, and describe the tools you used to implement these automation solutions.

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How do you stay updated with advancements in data engineering?

In your response, highlight your methods for keeping your skills fresh and current, such as attending conferences, participating in online courses, or following industry blogs and publications. This shows your commitment to continual learning and industry relevance.

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Describe how you handle deadlines and prioritize tasks in a busy project environment.

Discuss your time management strategies and tools you use to prioritize tasks. Mention any frameworks like Agile that you find useful and give examples of how you successfully navigated tight deadlines in previous projects.

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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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April 3, 2025

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