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Staff Data Engineer - job 29 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

As a Staff Data Engineer at Visa in Atlanta, you'll take the reins of our dynamic data engineering team, leading and mentoring talented professionals to drive impactful data strategies. In this role, your mission will be to translate complex business needs into efficient data models while ensuring that our data pipelines are robust, scalable, and reliable. You'll not only create and maintain data lakes but also implement and oversee CI/CD pipelines that enhance our data solutions. Your analytical expertise will shine as you work with both structured and unstructured datasets, utilizing big data tools like Hadoop, Hive, and Spark alongside programming languages such as Scala, Python, and SQL. At Visa, collaboration is key, and your success will hinge on your ability to engage with stakeholders throughout the organization to understand their data requirements and deliver tailored solutions. Beyond technical skills, you'll be expected to lead and manage large-scale data engineering projects, conduct thorough requirement analysis, and ensure the highest quality of data by defining management procedures. If you're ready to make a crucial impact in data engineering and enjoy the hunt for innovative solutions, this hybrid position at our Atlanta office could be the perfect fit for you!

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, driving the strategy and execution of data engineering initiatives, and collaborating with stakeholders to deliver effective data solutions. This role also involves designing data models, creating data pipelines, maintaining data lakes, and implementing CI/CD pipelines to ensure operational excellence in data management.

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What qualifications do I need to become a Staff Data Engineer at Visa?

To qualify for the Staff Data Engineer position at Visa, candidates should have substantial experience in data engineering, particularly with big data technologies like Hadoop, Hive, and Spark. Proficiency in programming languages such as Scala, Python, and SQL is essential. Strong analytical skills and the ability to manage large-scale data projects are also critical for success in this role.

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Can you describe the team dynamics of the Data Engineering team at Visa?

At Visa, the Data Engineering team thrives on collaboration and shared knowledge. As a Staff Data Engineer, you'll lead and mentor engineers, ensuring that everyone is aligned on project priorities and strategies. The emphasis is on teamwork, allowing members to leverage their strengths while working together to tackle complex data challenges, making it an exciting and rewarding work environment.

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

The work environment for a Staff Data Engineer at Visa in Atlanta is hybrid, meaning you can enjoy the flexibility of working both remotely and in the office. Expect a supportive atmosphere that fosters innovation and teamwork, with resources available to help you excel in your role while balancing personal and professional needs.

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What projects might a Staff Data Engineer at Visa work on?

A Staff Data Engineer at Visa may work on various projects that involve designing scalable data architecture, implementing data strategies, and developing pipelines to support business analytics. The role often includes collaborating on initiatives related to data integration, ensuring robust data management systems, and optimizing resources to enhance decision-making processes within the organization.

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Common Interview Questions for Staff Data Engineer
Can you explain your experience with big data tools such as Hadoop or Spark?

When answering this question, provide specific projects where you've utilized Hadoop or Spark. Describe your role, the challenges you faced, how you overcame them, and the positive outcomes achieved. This shows your hands-on experience and ability to contribute effectively to data engineering tasks.

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How do you ensure data quality in your projects?

A comprehensive answer should detail your approach to data validation, managing data load procedures, and implementing business rules to maintain data integrity. Share examples of tools or frameworks you've used to audit data quality and prevent issues from escalating.

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What is your experience with data modeling and design?

Discuss your understanding of data modeling principles, why it's important, and specific examples where you’ve designed data models that supported business objectives. Mention any tools or methodologies you've employed, emphasizing your analytical and technical skills.

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How do you manage project deadlines and prioritize tasks within your team?

Emphasize your organizational skills and experience with project management methodologies. Provide insights into how you communicate priorities with your team, delegate tasks, and ensure alignment on goals to meet deadlines efficiently.

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Can you describe a challenging data project you've led?

In answering this question, narrate a specific project that presented significant challenges. Detail your problem-solving process, how you engaged your team and stakeholders, and the successful execution of the project. This showcases your leadership and technical decision-making skills.

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What strategies do you implement for effective team leadership?

Discuss your leadership style and any strategies you adopt to foster team collaboration, personal growth, and morale. Consider mentioning regular check-ins, mentorship initiatives, or collective goal-setting as effective methods to enhance team performance.

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How comfortable are you with cloud-based data solutions?

Describe your experience with cloud platforms and the specific tasks you have performed, such as deploying data pipelines or maintaining cloud data lakes. Highlight any certifications or training you've undergone that bolster your knowledge and capabilities in this area.

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What role does stakeholder management play in your work as a Data Engineer?

Explain the importance of stakeholder communication in understanding their data needs and requirements. Provide examples of how you've successfully gathered stakeholder input to tailor your data solutions, ensuring that they meet business objectives.

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How do you stay updated with industry changes and advancements in data engineering?

Express your commitment to professional development by mentioning resources you follow, such as industry blogs, webinars, and conferences. Providing specific examples of how you've applied new insights or technologies in your work showcases your proactive approach to learning.

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What is your philosophy on implementing best practices in data engineering?

Share your views on the significance of industry best practices, such as code reviews, documentation, and testing procedures in data engineering. Discuss how these contribute to maintaining high-quality data solutions and operational 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...

11101 jobs
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Full-time, hybrid
DATE POSTED
April 3, 2025

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