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Staff Data Engineer - job 43 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's dynamic team in Atlanta as a Staff Data Engineer, where you'll have the chance to lead and mentor a skilled group of data engineers. Your expertise will guide our efforts to coordinate with various teams, managing and prioritizing exciting projects while driving the strategic roadmap of significant data engineering initiatives. We're looking for someone who can not only understand business needs but also translate those into actionable data models. You'll create robust data pipelines and maintain data lakes, contributing to our commitment to data excellence. Implementing and managing CI/CD pipelines for our data solutions will be part of your day-to-day responsibilities. As a collaborative leader, you'll work closely with stakeholders to ensure their data needs are met effectively. If you're experienced with big data tools, such as Hadoop, Hive, and Spark, and are proficient in programming languages like Scala, Python, and SQL, we would love to hear from you. This position offers an excellent opportunity to impact the data engineering landscape while working in a hybrid environment in Atlanta. Don’t miss your chance to bring your analytical skills to a company that values innovation and teamwork, creating solutions that drive success.

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

As a Staff Data Engineer at Visa in Atlanta, you will be responsible for leading and mentoring your team of data engineers, coordinating with various teams, and driving the strategy and execution of essential data engineering initiatives. You'll be expected to translate business requirements into effective data models, design and create robust data pipelines, and manage data lakes. Additionally, you will oversee the implementation of data strategies and ensure efficient operational data management across the organization.

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

To qualify for the Staff Data Engineer position at Visa, you should possess strong expertise in big data tools such as Hadoop, Hive, and Spark. Proficiency in programming languages like Scala, Python, and SQL is essential. A background in data modeling, designing data pipelines, and implementing CI/CD processes is also crucial. Furthermore, solid analytical skills and experience in managing large-scale data engineering projects are fundamental for excelling in this role.

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What does teamwork look like for a Staff Data Engineer at Visa?

Teamwork is at the core of the Staff Data Engineer role at Visa. You will lead and mentor a team while also collaborating with various stakeholders within the organization. Effective communication and coordination are critical as you work to understand data requirements and deliver solutions that cater to business needs. Your ability to manage and prioritize projects across teams will help foster a collaborative environment that drives innovation.

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Is the Staff Data Engineer role at Visa flexible regarding remote work?

Yes, the Staff Data Engineer role at Visa in Atlanta is a hybrid position, which means there is flexibility regarding remote work and in-office days. The exact expectations for days spent in the office will be confirmed by your hiring manager, allowing you to enjoy a balanced work experience.

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What are the key tools and technologies used by the Staff Data Engineer at Visa?

In the role of Staff Data Engineer at Visa, you will work with a variety of big data tools, including Hadoop, Hive, and Spark. Familiarity with programming languages such as Scala, Python, and SQL is essential, alongside experience in CI/CD pipelines that support data solutions. Additionally, you'll employ robust data integration techniques to maintain and develop data lakes, enabling efficient access to structured and unstructured datasets.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with big data tools relevant to the Staff Data Engineer position?

When answering this question, focus on the specific big data tools you've used, such as Hadoop, Spark, or Hive. Share detailed experiences, projects you worked on, and how these tools helped achieve project goals, demonstrating your understanding and practical application of these technologies.

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How do you prioritize data engineering projects in a team environment?

Explain your method for assessing project needs, considering factors like business impact, resource availability, timelines, and stakeholder importance. Highlight any specific processes or tools you use to maintain organization and efficient communication within the team.

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What strategies do you use for effective data modeling?

Discuss your approach to data modeling, emphasizing your ability to translate business requirements into clear data structures. Be prepared to provide an example where your data modeling significantly enhanced project outcome or decision-making.

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Can you explain a robust data pipeline you've designed and implemented?

Provide a step-by-step explanation of one of your data pipelines, outlining the technologies used, challenges faced, and how you resolved them. Demonstrating your problem-solving skills and the pipeline's impact on the overall data workflow is essential.

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What is your experience with CI/CD in data solutions?

Discuss your familiarity with Continuous Integration and Continuous Deployment methodologies specific to data engineering. Providing examples of how you've implemented CI/CD pipelines in the past, along with the benefits they brought to your projects, will showcase your expertise.

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How do you handle data quality issues?

Explain your process for identifying data quality issues, the tools you utilize, and the steps you take to rectify these issues. Sharing specific scenarios where you improved data quality will strengthen your response.

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What techniques do you use to lead and mentor a team effectively?

Outline your leadership style, including how you foster collaboration, provide constructive feedback, and ensure continuous learning within your team. Use examples to demonstrate your successful mentorship experiences in previous roles.

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How would you approach stakeholder management as a Staff Data Engineer?

Discuss the importance of understanding stakeholder needs and the techniques you employ for effective communication. How you gather requirements and provide updates on project progress will illustrate your stakeholder management capabilities.

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What methods do you use to stay updated with industry trends in data engineering?

Share how you keep abreast with the latest advancements in data engineering, which could include following key publications, attending conferences, joining professional networks, or participating in workshops. Demonstrating your commitment to continuous improvement is crucial.

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Why do you want to work as a Staff Data Engineer at Visa?

Here, emphasize your admiration for Visa's innovative work in data engineering and your eagerness to contribute to projects that have a significant impact. Aligning your personal goals with Visa’s mission and values will create a compelling response.

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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...

11148 jobs
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Full-time, hybrid
DATE POSTED
April 3, 2025

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