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Staff Data Engineer - job 34 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

Are you ready to take your career in data engineering to the next level? As a Staff Data Engineer at Visa in Atlanta, you'll be at the forefront of innovating and shaping the data landscape. In this role, you'll lead a talented team of data engineers, fostering collaboration and ensuring that our data initiatives align with business objectives. Your days will be filled with transforming complex business needs into efficient data models and creating robust data pipelines that support our cutting-edge projects. Whether it's developing and maintaining expansive data lakes or implementing CI/CD pipelines for our data solutions, your expertise will shine across various domains. You’ll also play a key role in defining data load procedures and ensuring the highest standards of operational data management. Proficiency in big data tools like Hadoop, Hive, and Spark, alongside programming skills in Scala, Python, and SQL, will be essential. Moreover, your ability to analyze structured and unstructured datasets, both on-cloud and on-premise, will allow you to craft scalable data strategies while mentoring junior engineers. This hybrid position at our Atlanta office offers a fantastic chance for you to make a lasting impact within the data engineering field. Join us and help steer our data engineering initiatives towards success!

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

As a Staff Data Engineer at Visa, you will lead and mentor a team of engineers, oversee the creation of data pipelines, and develop data strategies that align with our organizational goals. Additionally, you'll manage stakeholder relationships to ensure their data needs are met effectively.

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

Candidates for the Staff Data Engineer position at Visa should possess a strong background in big data tools such as Hadoop, Hive, and Spark. Proficiency in programming languages like Scala, Python, and SQL is critical, along with experience in creating data models and pipelines.

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What makes the Staff Data Engineer role at Visa unique?

The unique aspect of being a Staff Data Engineer at Visa is the opportunity to lead large-scale data engineering projects, collaborate with cross-functional teams, and drive strategic initiatives that greatly influence Visa's data ecosystem. You'll be integral in shaping the future of data solutions.

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How does collaboration play a role in the Staff Data Engineer position at Visa?

Collaboration is at the core of the Staff Data Engineer role at Visa. You will engage with stakeholders from various departments to understand their data requirements, ensuring that your solutions are aligned with business needs and enhancing overall operational efficiency.

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Is the Staff Data Engineer position at Visa based in Atlanta flexible?

Yes, the Staff Data Engineer role at Visa offers a hybrid work schedule. While some days will require you to be in the Atlanta office, the specifics will be confirmed by your hiring manager, allowing for a balance between remote and in-office 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 as a Staff Data Engineer?

When answering this question, highlight specific projects where you've utilized Hadoop or Spark to solve complex data challenges. Discuss your understanding of their ecosystem and performance optimizations you’ve implemented.

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How do you prioritize tasks when managing multiple data engineering projects?

For this question, outline your approach to task prioritization based on project deadlines and stakeholder importance. Emphasize your experience with agile methodologies or similar frameworks that help manage workload effectively.

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What data modeling techniques are you familiar with?

Discuss the various data modeling techniques you've employed, such as entity-relationship modeling or dimensional modeling. Provide examples of how you've implemented these techniques in past projects as a Data Engineer.

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How do you ensure data quality during data load procedures?

Mention the specific practices you adopt, such as validating data against business rules and maintaining detailed logs of data loads. Explain how you've managed quality checks to prevent incorrect data from affecting downstream systems.

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How do you mentor junior data engineers in your team?

Talk about your mentoring style, whether it's through hands-on review sessions, regular check-ins, or fostering a collaborative learning environment. Share specific examples where your mentorship enhanced team performance.

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Can you explain CI/CD as it relates to data solutions?

Describe your understanding of CI/CD in the context of data engineering, emphasizing how it enables automated testing and deployment of data pipelines. Provide examples of tools you've used for implementing CI/CD.

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What are the challenges you've faced in data integration and how did you overcome them?

Share particular challenges, such as data format discrepancies or merging datasets from diverse sources, and discuss the solutions you devised to tackle these issues, showcasing your problem-solving capabilities.

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

Mention your commitment to continuing education through online courses, webinars, or attending data engineering conferences. Highlight the significance of networking with peers to share insights and best practices.

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Describe a successful data project you've led as a Staff Data Engineer.

Present a specific project example, detailing the goals, your role, the methodologies you applied, and the impact it had on the organization. Use metrics or outcomes to quantify success.

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What programming languages do you prefer for data engineering tasks, and why?

Discuss your familiarity with languages like Python, Scala, and SQL. Emphasize how your preferences align with the specific needs of data engineering tasks, such as ETL processes or data manipulation, and how they contribute to your overall efficiency.

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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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