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Staff Data Engineer - job 0 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

$95000 / YEARLY (est.)
min
max
$80000K
$110000K

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 will take on a crucial role that serves as the technical backbone of our Data Engineering team and the Product organization. Reporting to the Data Engineering department, you'll be executing and aligning data strategies that meet our high Technology Services standards. Imagine working closely with the Data Solutions Product Manager, diving into exciting projects that influence product development and innovation! Your position will allow you to act as the essential bridge between technical and product realms, ensuring that our data engineering solutions are integrated seamlessly into our initiatives. This is more than just a job; it’s an opportunity to foster a data-driven culture that will contribute to the overall success of our organization. You’ll be engaged in stakeholder meetings, clarifying requirements, identifying needs for systems and architectures, writing maintainable code, and building impressive tools that automate and enhance data processes. With a focus on quality assurance, you will also conduct unit tests and oversee data pipelines, ensuring everything runs smoothly and efficiently. The best part? This role offers hybrid work, allowing you to enjoy a blend of remote and office settings, making it easier to maintain that great work-life balance while collaborating effectively with your team. Come and be a pivotal player in our journey towards data excellence at Mentor!

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

As a Staff Data Engineer at Mentor, your responsibilities include executing data engineering strategies, collaborating with the Data Solutions Product Manager on innovative projects, conducting unit testing, and ensuring seamless data integration into product initiatives. You'll also engage with stakeholders to determine business needs and optimize data pipelines throughout their lifecycle.

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

The ideal candidate for the Staff Data Engineer position at Mentor should possess a strong background in data engineering, database design, and coding practices. You should be proficient in programming languages commonly used in data environments, understand data storage architectures, and have a knack for problem-solving and critical thinking. Familiarity with automation processes and testing methodologies is highly beneficial.

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

Collaboration is key for a Staff Data Engineer at Mentor! You'll work closely with product teams and business partners during meetings to identify requirements and articulate technical needs. This role acts as a crucial link, ensuring data engineering solutions meet product innovation demands and contribute effectively to team objectives.

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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 dynamic and hybrid, allowing for flexibility between remote and office work. You'll be part of a collaborative team that fosters creativity and innovation. Engaging in hands-on projects while cultivating a culture of data-driven decision-making makes for an exciting workplace where your contributions truly matter.

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What opportunities for advancement are available for Staff Data Engineers at Mentor?

Mentor values growth and development, offering numerous opportunities for advancement within the organization. As a Staff Data Engineer, you'll have the chance to take on increasing responsibilities, lead projects, and mentor junior team members. Continuous learning and skill enhancement are strongly encouraged, supporting your career trajectory in the field of data engineering.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with data pipeline development?

When answering this question, narrate specific projects where you've designed and managed data pipelines. Highlight the tools you used, challenges faced, and how you ensured data quality throughout the process.

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How do you approach ensuring data quality in your projects?

Explain your strategies for maintaining data quality, such as implementing automated testing, data validation checks, and monitoring processes. Use examples to illustrate your commitment to data integrity.

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What coding standards do you follow when writing data engineering code?

Discuss the coding standards and best practices you adhere to, including naming conventions, documentation, and version control. Reference how these practices contribute to maintainability and collaboration.

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Describe a situation where you had to liaise with stakeholders to gather requirements.

Share a specific anecdote demonstrating your communication skills where you successfully gathered and clarified requirements from stakeholders, emphasizing your ability to translate technical jargon into business terms.

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What tools and technologies are you proficient in as a Data Engineer?

List out the key tools and technologies you've worked with, such as SQL, Python, Apache Spark, or AWS, explaining how each has contributed to your effectiveness as a Data Engineer.

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Can you give an example of a data-centric problem you solved?

Illustrate a challenging data problem you faced, detailing the context, your analysis process, and the successful solution you implemented, showcasing your problem-solving skills.

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How do you ensure the scalability of your data solutions?

Discuss your approach to designing scalable data architectures, including considerations for future data growth, performance metrics, and load management during high-demand situations.

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What is your experience with real-time data processing?

Describe your familiarity with real-time data processing technologies, such as Kafka or Apache Flink, and provide examples of how you've implemented these in previous projects.

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How do you stay current with emerging trends in data engineering?

Talk about the resources you utilize to keep up with industry trends, such as webinars, conferences, and online courses. Highlight how you apply new knowledge to your work.

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What practices do you implement for efficient data storage?

Discuss your strategies for optimizing data storage, such as partitioning, compression techniques, and maintaining data lifecycle management policies, detailing the benefits each offers.

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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 2, 2025

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