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Staff Data Engineer - job 45 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, where you will play a critical role in bridging the Data Engineering team and the Product organization. In this exciting position, you'll report directly to the Data Engineering department, executing essential strategies and processes in line with Technology Services standards. Collaborating closely with the Data Solutions Product Manager, you will identify and undertake key projects that drive product development and innovation. Your ability to bridge the technical and product realms will ensure the seamless integration of data engineering solutions into product initiatives, fostering a culture of data-driven development. Your responsibilities will include actively participating in meetings with stakeholders to clarify requirements, identifying systems and tools that support application needs, and analyzing data for effective database design. As you write code, you will emphasize extensibility and maintainability while mentoring others in best practices. Conducting thorough testing will be central to your role, ensuring that your code functions flawlessly. Additionally, you will build standard automation processes, manage data pipelines, and implement self-healing processes to maintain data quality and optimize performance. This hybrid position gives you the flexibility to alternate between remote work and office visits based on business needs, ensuring you maintain a balance that works for you and your colleagues at Mentor.

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, your primary responsibilities will include acting as a liaison between the Data Engineering team and Product organization, identifying key project needs, analyzing data for effective database design, writing maintainable code, conducting unit tests, and building automation processes. You’ll also ensure data quality and optimize performance throughout the data lifecycle.

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

The Staff Data Engineer role at Mentor typically requires a strong background in data engineering, proficiency in programming and database management, experience in analyzing data architecture, and familiarity with coding patterns and security standards. Additionally, candidates should have excellent communication skills to effectively engage with stakeholders.

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What type of projects will a Staff Data Engineer work on at Mentor?

In the Staff Data Engineer position at Mentor, you'll work on projects that focus on integrating data engineering solutions into product developments. This may include identifying and clarifying requirements, implementing data management processes, and developing tools that enhance data access and usage across products.

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Is the Staff Data Engineer role at Mentor a hybrid position?

Yes, the Staff Data Engineer role at Mentor is a hybrid position that allows employees to alternate between remote work and office visits. Typically, you're expected to work in the office 2-3 set days a week, ensuring collaboration while also offering flexibility.

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How does a Staff Data Engineer contribute to data-driven decision-making at Mentor?

A Staff Data Engineer at Mentor contributes to data-driven decision-making by ensuring a seamless integration of data solutions into product initiatives, conducting thorough data analysis, and implementing processes that enhance data quality and performance, thus empowering stakeholders to make informed, data-backed decisions.

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Common Interview Questions for Staff Data Engineer
How do you prioritize your responsibilities as a Staff Data Engineer?

When prioritizing responsibilities as a Staff Data Engineer, consider both technical demands and stakeholder needs. I utilize a combination of project deadlines, impact assessments, and communication with team members to ensure alignment on priorities that support the overall product strategy.

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Can you describe a challenging data engineering project you've worked on?

Certainly! In previous roles, I faced challenges such as integrating new data sources into existing systems. By analyzing the architecture and collaborating with cross-functional teams, I successfully streamlined the integration process to enhance data accessibility.

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What coding standards do you follow when developing data solutions?

I adhere to industry best practices, ensuring my code is clean, maintainable, and efficient. This involves using version control, adhering to naming conventions, and writing thorough documentation to facilitate collaboration and ease future updates.

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How do you ensure the quality of data in your engineering processes?

I implement rigorous testing processes including unit and user acceptance tests. Additionally, I establish automated checks throughout the pipeline to monitor data integrity and promptly address any discrepancies that may arise.

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Describe a time when you had to communicate complex technical information to non-technical stakeholders?

I recall a project where I worked with marketing teams. To communicate complex data insights, I created visualizations and simplified explanations, ensuring that stakeholders understood the significance without getting lost in technical jargon.

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

I regularly engage in professional development by attending webinars, reading industry publications, and participating in tech meetups. This continuous learning enables me to apply the latest trends and tools to enhance my work.

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What is your experience with data pipeline management?

I've managed several data pipelines, ensuring they are robust and scalable. I focus on automating processes to improve efficiency and regularly monitor performance to optimize data flow across applications.

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How do you handle conflicts within a project team?

In handling conflicts, I always advocate for open communication. I encourage team members to voice their concerns and seek common ground to resolve issues. This collaborative approach often strengthens team dynamics.

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What strategies do you use to mentor junior engineers?

I believe in hands-on mentoring through pair programming, regular code reviews, and encouraging open discussions. By providing constructive feedback and sharing my experiences, I help junior engineers grow in their roles.

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What tools and technologies are you familiar with for data engineering?

I have extensive experience with SQL, Python, ETL tools, cloud platforms like AWS and Azure, and data visualization tools. My proficiency in these technologies enables me to design effective data solutions that meet various business needs.

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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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