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Staff Data Engineer - job 11 of 50

The Staff Data Engineer role involves leading and mentoring a team of data engineers, coordinating with other teams to manage and prioritize projects, and driving the strategy, roadmap, and execution of key data engineering initiatives. The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining data lakes. It also involves implementing and maintaining CI/CD pipelines for data solutions. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Scala, Python, SQL, and have strong analytical skills related to working with structured and unstructured datasets in Cloud and on-prem environments

This position is based in Visa's offices in Atlanta, USA, and presents an excellent opportunity for those looking to make a significant impact in the field of Data Engineering.

Essential Functions:

  • Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects.
  • Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
  • Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
  • Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
  • Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
  • Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
  • Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems.
  • Understanding of and ability to Implement Data Engineering principles and best practices.
  • Team Leadership: Lead and mentor a team of data engineers. Coordinate with other teams to manage and prioritize projects. Drive strategy, roadmap, and execution of key data engineering initiatives.
  • Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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 Visa as a Staff Data Engineer in our vibrant Atlanta office, where your expertise in data engineering can make a significant difference! In this role, you'll have the chance to lead and mentor a talented team of data engineers, coordinating efforts with other departments to manage and prioritize exciting projects. You'll be at the forefront of developing our data strategy, guiding the roadmap and execution of key initiatives. Your day-to-day will involve translating business needs into effective data models and building robust data pipelines to support our data lakes. We believe collaboration is key, so you'll work closely with stakeholders across the organization to understand their unique data needs and deliver tailored solutions. As a Staff Data Engineer, familiarity with big data tools like Hadoop, Hive, and Spark will be vital, along with proficiency in programming languages such as Scala, Python, and SQL. We also expect you to demonstrate strong analytical skills when working with both structured and unstructured datasets, whether in our cloud environment or on-premises. If you're ready to take the next step in your career and thrive in an innovative environment, we’d love to hear from you!

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

As a Staff Data Engineer at Visa, you will be responsible for leading a team of data engineers, managing and prioritizing projects, and designing data pipelines that meet business needs. You'll also collaborate with stakeholders, implement data strategies, and ensure the quality and robustness of our operational data management systems.

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What qualifications do I need to apply for the Staff Data Engineer position at Visa?

To be considered for the Staff Data Engineer role at Visa, you should have experience with big data tools such as Hadoop, Hive, and Spark, along with strong programming skills in Scala, Python, and SQL. Additionally, a good grasp of data modeling, data integration, and operational data management is essential.

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How does the leadership aspect play into the Staff Data Engineer role at Visa?

Leadership is a key component of the Staff Data Engineer role at Visa. You will not only serve as a mentor to your team members but also be responsible for coordinating with various teams to align data engineering projects with overall business strategies.

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Is the Staff Data Engineer position at Visa a remote or hybrid role?

The Staff Data Engineer position at Visa is a hybrid role, allowing flexibility with a mix of in-office and remote work. The expected number of days in the office will be confirmed by your hiring manager.

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What tools and technologies will I be working with as a Staff Data Engineer at Visa?

As a Staff Data Engineer at Visa, you'll work with an array of big data tools including Hadoop, Hive, and Spark. Proficiency in programming languages like Scala, Python, and SQL, along with experience in creating and managing data pipelines, will be instrumental for success in this role.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with big data technologies as a Staff Data Engineer?

When discussing your experience with big data technologies, be specific about the tools you've used and the challenges you've faced. Highlight how you utilized Hadoop, Spark, or Hive in past projects and the impact of your work on data management or processing efficiency.

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How do you approach data modeling in your projects?

To answer this question, explain your process for understanding business needs, gathering requirements, and creating data models. Emphasize the importance of collaboration with stakeholders to ensure the models effectively support business objectives.

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What strategies do you employ for building scalable data pipelines?

Share your strategies for designing data pipelines that can easily scale with demand. Discuss your experience with automation, CI/CD practices, and how you ensure data quality and integrity throughout the pipeline process.

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How do you prioritize projects as a Staff Data Engineer?

When asked this question, describe your approach to project management and prioritization. Elaborate on how you assess project impact, stakeholder needs, and resource availability to make informed decisions about project priorities.

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Can you give an example of how you have successfully led a data engineering team?

Be prepared to provide a specific example that illustrates your leadership style. Discuss challenges faced, how you motivated your team, and the results of your leadership in shaping successful data engineering outcomes.

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What is your experience with data lakes, and how have you developed them?

Discuss your experience with creating and maintaining data lakes, covering the tools and processes you've used to gather, organize, and ensure data quality. Highlight any specific metrics or results that demonstrate the impact of your work on the organization.

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How do you ensure the quality of the data you work with?

Detail your methods for ensuring data quality, including validation processes, testing strategies, and mechanisms for monitoring data integrity. Describe how you handle data that does not meet quality standards.

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What challenges have you faced in data engineering, and how did you overcome them?

Reflect on specific challenges you encountered in your data engineering career, discussing the context, your problem-solving approach, and the outcomes. This will showcase your critical thinking and adaptability.

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How do you stay updated with the latest trends and technologies in data engineering?

Share your strategies for continuous learning, including following industry blogs, attending conferences, participating in webinars, or pursuing certifications. Describe how you apply new knowledge to enhance your work in data engineering.

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What role does stakeholder management play in your work as a Staff Data Engineer?

Discuss the importance of understanding stakeholder needs and how you collaborate with business teams to deliver effective data solutions. Highlight techniques you use for effective communication and managing stakeholder expectations.

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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 4, 2025

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