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Staff Data Engineer - job 31 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

At Visa, we are excited to announce an opening for a Staff Data Engineer in our Atlanta office! In this pivotal role, you'll take the lead in mentoring a talented team of data engineers while coordinating with various departments to prioritize and manage important data projects effectively. Here at Visa, we believe that understanding and translating business needs into actionable data models is crucial, and as a Staff Data Engineer, you'll have the opportunity to create robust data pipelines and maintain extensive data lakes. You’ll be implementing and overseeing CI/CD pipelines for our sophisticated data solutions, ensuring our operational data management systems thrive. Collaboration is key in our culture, and you'll be working hand-in-hand with stakeholders to discern their data needs, delivering tailored solutions that foster growth and innovation. We’re looking for candidates who are well-versed in big data tools like Hadoop, Hive, and Spark, and those proficient in programming languages such as Scala, Python, and SQL. Your analytical skills will be tested as you work with both structured and unstructured datasets in diverse environments, both in the cloud and on-premises. If you're ready to make a significant impact in the field of Data Engineering, we would love to have you on our team to drive forward our exciting initiatives.

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

The Staff Data Engineer at Visa will lead a team of data engineers, manage project priorities, and drive strategic data initiatives. Key responsibilities include creating data models, developing data pipelines, maintaining data lakes, and implementing CI/CD solutions for robust data management. You'll also collaborate with various stakeholders to identify and fulfill their data requirements.

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What qualifications are necessary to become a Staff Data Engineer at Visa?

To qualify for the Staff Data Engineer position at Visa, candidates should have extensive experience with big data tools like Hadoop and Spark, and proficiency in programming languages such as Scala and Python. Strong analytical skills, experience with both structured and unstructured datasets, and a background in managing large-scale data engineering projects are essential.

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How does the Staff Data Engineer role at Visa contribute to data strategies?

The Staff Data Engineer role is pivotal in defining and managing data strategies at Visa. This includes analyzing business needs, implementing data frameworks, and ensuring the alignment of engineering projects with strategic objectives to deliver effective data solutions across the organization.

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What is the team structure for a Staff Data Engineer at Visa?

At Visa, the Staff Data Engineer will lead a dedicated team of data engineers while collaborating with data analysts and information system teams. This role positions you as a pivotal leader who drives project execution and strategy within a cross-functional team environment.

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

The Staff Data Engineer position at Visa is hybrid, allowing flexibility between remote work and in-office presence. The exact expectation of days spent in the office will be confirmed by your hiring manager, promoting a work-life balance that fits your needs.

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

In answering this question, focus on specific projects or tasks where you utilized tools like Hadoop, Spark, or Hive. Describe the challenges you faced, how you overcame them, and the outcomes. Highlight your technical skills while reflecting on how they contributed to your team's success.

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How do you prioritize projects as a Staff Data Engineer?

To effectively answer this question, discuss your approach to project management, emphasizing communication with stakeholders, assessing project impact, and aligning with business objectives. Provide examples of tools or methods you use to keep track of competing priorities.

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What strategies do you implement to ensure data quality?

Demonstrate your understanding of data governance and quality frameworks. Discuss strategies such as implementing data validation checks, regular audits, and collaborative efforts with team members to ensure datasets meet quality thresholds and business requirements.

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How do you mentor junior data engineers?

Articulate your mentoring philosophy, including how you share knowledge and best practices while providing guidance in their skill development. Offer examples of successful mentorship experiences and how they improved team performance and morale.

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Can you describe a complex data pipeline you’ve designed?

Describe the architecture and components of a data pipeline project you’ve worked on. Address the technical challenges faced and how data ingestion, processing, and transformation were handled. Emphasize your role and the impact of the pipeline on the overall data strategy.

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What programming languages are you proficient in, and how do they relate to data engineering?

Discuss your proficiency in programming languages such as Python, Scala, and SQL, and how each language serves different functions within data engineering. Provide examples of tasks you’ve accomplished using each to show your versatility and technical depth.

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How do you approach collaboration with cross-functional teams?

Explain your communication style and strategies for effectively collaborating with other departments. Highlight specific tools or frameworks that enhance collaboration, along with examples of successful cross-functional projects you’ve participated in.

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What is your understanding of CI/CD in regards to data engineering?

Share your insights into Continuous Integration and Continuous Deployment within the context of data engineering. Discuss how you’ve applied these principles to improve the data deployment process and how they ensure stability and quality in data solutions.

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In your opinion, what are best practices for data modeling?

Provide an overview of data modeling best practices, including normalization, schema design, and the importance of documentation. Additionally, discuss how you incorporate feedback from stakeholders to ensure models align with business needs.

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What motivates you as a Staff Data Engineer?

Reflect on what drives you in your work as a data engineer. Discuss aspects such as problem-solving, the opportunity to innovate, and your commitment to leveraging data for impactful business decisions, while connecting your motivations to Visa's mission.

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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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