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Staff Data Engineer - job 0 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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

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 Visa in Atlanta, you’re stepping into an exciting role at the forefront of data engineering. Here, you’ll lead and mentor a talented team of data engineers, ensuring that you not only manage ongoing projects but also set the strategic direction for data initiatives that truly matter. Your work will be vital in understanding business needs and translating them into robust data models that enhance decision-making across the organization. With your expertise, you’ll build scalable data pipelines and maintain data lakes that support both structured and unstructured data. You’ll implement CI/CD pipelines for data solutions, ensuring that the flows are reliable and efficient. Collaboration is key, as you’ll work closely with various stakeholders to identify their data needs and deliver impactful solutions—making a real difference in their operations. Proficiency in big data tools like Hadoop, Hive, and Spark, alongside programming languages such as Scala, Python, and SQL, is crucial for success in this hybrid role. With your strong analytical skills, you’ll tackle complex datasets both in cloud environments and on-premises, paving the way for smarter data management. This position not only allows you to strengthen your technical abilities but also provides ample opportunities for growth and professional development, proving to be a significant milestone in your career in Data Engineering.

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

The Staff Data Engineer at Visa is responsible for leading a team of data engineers, managing and prioritizing projects, and driving the strategy of key data engineering initiatives. Responsibilities include developing and maintaining data lakes, creating robust data pipelines, and implementing CI/CD pipelines for data solutions.

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

Candidates for the Staff Data Engineer position at Visa should have experience with big data tools like Hadoop, Hive, and Spark. Proficiency in programming languages such as Scala, Python, and SQL is essential, as well as strong analytical skills related to handling structured and unstructured datasets.

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How can a Staff Data Engineer at Visa contribute to business growth?

A Staff Data Engineer at Visa contributes to business growth by understanding and translating business needs into effective data strategies, enabling the organization to make data-driven decisions. By delivering scalable data solutions and collaborating with stakeholders, they help improve operational efficiencies and deliver meaningful insights.

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What types of projects will a Staff Data Engineer work on at Visa?

As a Staff Data Engineer at Visa, you’ll work on projects that include designing data pipelines, developing data models, and implementing data integration solutions aimed at enhancing the company’s data ecosystem. You will also collaborate on projects that ensure robust operational data management systems.

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What is the work culture like for a Staff Data Engineer at Visa in Atlanta?

The work culture for a Staff Data Engineer at Visa is collaborative, dynamic, and focused on innovation. You will be part of a team that values mentorship and professional development while also having the flexibility of a hybrid work arrangement, allowing for a balance of in-office and remote work.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with big data tools like Hadoop and Spark?

In answering this question, be specific about the projects you've handled, the challenges faced, and how you utilized these tools to solve problems. Share examples such as data processing capabilities or optimizations you implemented to improve performance.

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How do you prioritize tasks in a data engineering project?

Describe your approach to project management, focusing on how you identify critical tasks based on stakeholder needs, project deadlines, and resource availability. Mention any tools you use for task tracking or prioritization.

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What strategies do you use for data pipeline optimization?

When discussing your strategies, include techniques such as parallel processing, batching, or choosing the right storage options. Be sure to highlight specific instances where you've successfully optimized a data pipeline.

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How do you ensure data quality in your projects?

Emphasize the importance of data validation and testing processes. Give examples of checks you implement to catch errors early in data loading and processing phases, and discuss any frameworks or tools you’ve used for this purpose.

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Describe a time when you had to collaborate with non-technical stakeholders.

Share a clear example that illustrates your communication skills, how you translated technical data concepts for non-technical stakeholders, and how you worked together to achieve a successful data-related goal.

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What is your approach to mentoring junior data engineers?

Discuss your philosophy on mentorship, including practical steps you take to support their growth, such as code reviews, knowledge-sharing sessions, or one-on-one guidance to help them overcome challenges.

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Can you explain a complex data model you have designed in the past?

In your response, outline the goals of the data model, the complexities involved, the technologies used, and how it served the business needs. Use concrete examples to illustrate your analytical thinking and design skills.

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What CI/CD tools have you used in your data engineering projects?

Be ready to discuss specific CI/CD tools you’ve worked with, how you’ve set up automated testing and deployment processes for your data pipelines, and any successes or failures you've learned from in using these tools.

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

Highlight your commitment to professional development by mentioning relevant blogs, online communities, conferences, or courses you follow. Discuss how these resources have influenced your work or prompted you to try new tools or techniques.

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What challenges do you foresee in the role of a Staff Data Engineer?

In responding, identify potential challenges such as evolving technologies or ensuring data compliance and quality. Discuss how you would address these challenges proactively through continuous learning and adaptability.

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Full-time, hybrid
DATE POSTED
April 2, 2025

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