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Staff Data Engineer - job 25 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 in Atlanta as a Staff Data Engineer, where you will take the reins in leading and mentoring a skilled team of data engineers. In this dynamic position, you’ll get to coordinate with various teams, manage and prioritize projects, and drive the strategy and execution of key data engineering initiatives that truly make a difference. You will be at the forefront of transforming business needs into data models while creating and maintaining robust data pipelines and data lakes. Your expertise will also be essential in implementing and maintaining CI/CD pipelines for our data solutions. Ideal candidates are well-versed in big data tools like Hadoop, Hive, and Spark, proficient in programming languages such as Scala, Python, and SQL, and possess strong analytical skills to handle structured and unstructured datasets in both cloud and on-prem environments. Collaborating with stakeholders to understand their data requirements and deliver insightful solutions is key, as is the ability to define and manage data load procedures that ensure top-notch data quality. This hybrid role at Visa offers an exciting opportunity for skilled data professionals eager to drive impactful data engineering projects!

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at Visa
What responsibilities does a Staff Data Engineer at Visa in Atlanta have?

As a Staff Data Engineer at Visa in Atlanta, your role encompasses a wide range of responsibilities including leading a team of data engineers, managing large-scale data engineering projects, and driving the execution of data initiatives. You will also collaborate closely with business teams to gather requirements and translate them into effective data models. Furthermore, you'll be involved in creating and managing robust data pipelines and overseeing data integration processes through data lakes, ensuring that data quality and business rules are upheld.

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

To apply for the Staff Data Engineer position at Visa, candidates should possess a strong background in data engineering principles and best practices. Proficiency in big data tools like Hadoop, Hive, and Spark is essential, along with programming skills in Scala, Python, and SQL. It’s also crucial to have strong analytical abilities, especially in handling both structured and unstructured datasets in cloud and on-prem environments. Previous experience in team leadership and stakeholder management will significantly enhance your application.

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What are the key skills required for a Staff Data Engineer at Visa?

Key skills for a Staff Data Engineer at Visa include extensive knowledge of data modeling, data pipeline design, and data integration. Candidates should be proficient in tools like Hadoop and Hive, and familiar with programming languages such as Scala, Python, and SQL. Strong analytical skills and the ability to define and manage data load procedures are crucial. Additionally, excellent communication and collaboration skills are necessary to effectively work with stakeholders across various teams.

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How can I excel as a Staff Data Engineer at Visa?

To excel as a Staff Data Engineer at Visa, focus on deepening your technical expertise in big data tools and programming languages relevant to the position. In addition, developing strong leadership skills to effectively mentor your team and manage projects will set you apart. Being proactive in stakeholder collaboration and understanding their data needs will enhance your contributions. Lastly, staying updated on the latest data engineering trends and best practices will help you innovate and drive success in your initiatives.

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Is the Staff Data Engineer position at Visa a remote work opportunity?

The Staff Data Engineer position at Visa is a hybrid role, which means that while you will have some flexibility in your work arrangements, there is an expectation to spend a certain number of days in the office. The exact schedule will be confirmed by your hiring manager, allowing you to balance both in-person collaboration and remote work.

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Common Interview Questions for Staff Data Engineer
What are the main responsibilities of a Staff Data Engineer?

In preparing for this question, highlight your role in leading teams, managing projects, developing data models, designing pipelines, and collaborating with stakeholders. Emphasize your experience with specific tools and methodologies that contribute to effective data engineering.

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How do you prioritize tasks as a Staff Data Engineer?

Discuss your approach to prioritizing based on business impact, urgency, and resource availability. Mention any tools or techniques you use, like Kanban boards or prioritization matrices, to manage workload and ensure timely project delivery.

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Can you explain your experience with data modeling?

Provide specific examples of data models you've developed in past projects. Discuss the business needs you gathered and your approach to translating those into effective, scalable data structures. Emphasize your understanding of different data modeling techniques.

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What is your approach to ensuring data quality?

Discuss the methods you employ to establish data quality, including validation rules, testing processes, and regular audits of data pipelines. Emphasize your experience with defining business rules that maintain data integrity.

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How do you handle stakeholder collaboration as a Staff Data Engineer?

Share your strategies for effective communication and collaboration with various stakeholders. Describe how you gather requirements, manage expectations, and ensure that their data needs are met through your engineering solutions.

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What tools and technologies are you proficient in for data engineering?

List key tools and technologies you've worked with, such as Hadoop, Spark, and databases like SQL. Illustrate your practical experience with these technologies and how they have helped you deliver successful projects.

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Describe a challenging project you managed as a Data Engineer.

Choose a specific project that posed unique challenges, detailing the obstacles you faced and how you overcame them. Highlight learnings and successful outcomes to demonstrate your problem-solving abilities.

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How do you stay updated on data engineering trends?

Discuss the methods you use to keep informed about industry trends, such as attending conferences, participating in online communities, or reading relevant publications. Mention any formal education or certifications you've pursued.

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What role does automation play in data engineering?

Explain the importance of automation in optimizing data pipelines, reducing manual errors, and improving efficiency. Share examples of automation tools or scripts you've successfully implemented in your work.

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

Outline your understanding of CI/CD principles and how you've applied them in data engineering projects. Provide examples of how CI/CD practices have enhanced deployment and testing in your previous work.

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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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