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Staff Data Engineer - job 46 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 to the next level? At Visa in Atlanta, we are on the lookout for a Staff Data Engineer who will play a crucial role in shaping our data engineering initiatives. In this exciting position, you will lead and mentor a team of talented data engineers, guiding them as they translate business needs into effective data models. You’ll have the opportunity to collaborate with various teams, helping to manage and prioritize exciting projects while driving the strategy and roadmap for our key data engineering initiatives. Your expertise in big data tools like Hadoop, Hive, and Spark, along with programming skills in Scala, Python, and SQL, will be vital in creating robust data pipelines and maintaining our advanced data lakes. You'll implement and manage CI/CD pipelines for our data solutions while ensuring our operational data management systems are second to none. Stakeholder engagement is key, as you'll work closely with different parts of the organization to understand their data needs and deliver impactful solutions. If you are passionate about using your skills to make a significant difference in the world of data at Visa, then this hybrid opportunity in Atlanta might just 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?

As a Staff Data Engineer at Visa, you'll lead and mentor a team, coordinate projects, and drive strategic data engineering initiatives. Key responsibilities include understanding business needs, creating data models, designing robust data pipelines, maintaining data lakes, and implementing CI/CD pipelines for data solutions.

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What qualifications do I need to be a Staff Data Engineer at Visa in Atlanta?

To qualify for the Staff Data Engineer position at Visa, candidates should possess expertise in big data technologies like Hadoop and Spark, along with programming skills in languages such as Scala, Python, and SQL. Strong analytical skills and experience with both structured and unstructured datasets in cloud and on-premise environments are also essential.

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How does the Staff Data Engineer role contribute to Visa's data initiatives?

The Staff Data Engineer at Visa plays a pivotal role by leading the development and strategy of data engineering projects. This includes collaborating with stakeholders to comprehend their data needs, implementing effective data strategies, and developing systems that ensure quality data management across the organization.

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What tools and technologies should a Staff Data Engineer at Visa be familiar with?

A Staff Data Engineer at Visa should be well-versed in using big data tools such as Hadoop, Hive, and Spark. Additionally, proficiency in programming languages like Scala, Python, and SQL is crucial for building robust data pipelines and resolving complex data challenges.

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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 team of data engineers while collaborating closely with other teams and stakeholders to prioritize projects. You'll be responsible for mentoring team members and driving the execution of key data engineering initiatives, ensuring that all collaborative efforts align with the broader goals of the organization.

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Common Interview Questions for Staff Data Engineer
Can you describe a challenging data pipeline you designed and the impact it had?

Discuss a specific project where you faced significant challenges, focusing on the technical aspects such as architecture, technology choices, and problem-solving approaches. Highlight the positive outcomes, such as increased data processing efficiency or enhanced reporting capabilities.

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How do you approach translating business requirements into data models?

Explain your methodology for requirement gathering, including collaboration strategies with stakeholders. Detail your process for creating data models that effectively support long-term business objectives and functionality.

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What experience do you have with big data technologies, and how have you implemented them in previous roles?

Share relevant experiences with tools like Hadoop, Spark, and Hive. Provide examples where you applied these technologies to solve data challenges, the outcomes achieved, and any lessons learned during implementation.

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How do you ensure the quality of data being loaded into your systems?

Discuss your approach to defining data quality checks and metrics. Highlight experiences where you implemented testing strategies and data validation processes to ensure only high-quality data meets your business requirements.

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Describe a time when you had to mentor a junior engineer. How did you approach it?

Provide an example of mentorship, detailing how you identified the needs of the junior engineer, what strategies you used for effective coaching, and the outcomes you aimed for in their skill development.

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What strategies do you use to manage and prioritize multiple data engineering projects?

Describe your project management techniques, possibly mentioning tools or methodologies (like Agile or Scrum). Illustrate how you balance workload, communicate with stakeholders, and ensure timely delivery of projects.

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

Share your strategies for continuous learning, such as following industry publications, attending conferences, participating in online courses, or being part of professional networks. Emphasize how staying current has positively influenced your work.

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Can you explain the CI/CD process you’ve implemented for data solutions?

Detail your understanding of CI/CD principles relevant to data engineering. Share any specific experiences where you created and maintained CI/CD pipelines, what tools you used, and the challenges you faced.

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What is your experience with data lakes, and how do you maintain them?

Discuss your direct experience in developing and maintaining data lakes, including the technologies you used, the types of data processed, and the strategies you employed for ensuring data integrity and accessibility.

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How do you handle conflicts or disagreements within your engineering team?

Explain your conflict resolution strategies, focusing on communication, active listening, and collaborative problem-solving. Provide an example where you had to mediate a situation to maintain team productivity.

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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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