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Sr. Data Engineer - job 30 of 32

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Job Description:

As a Senior Data Engineer, you'll join our Value Added Services – Digital Marketing & Engagement organization. You will help design, enhance, and build our data infrastructure and pipelines within an agile development environment, collaborating with colleagues who will support and challenge you daily.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines and ETL processes.
  • Ensure data services are highly available, secure, scalable, and resilient.
  • Drive innovation to differentiate our data products and accelerate time-to-market delivery.
  • Utilize containerization technologies such as Docker and Kubernetes, and expertise in Java, Python, and both relational and non-relational databases.
  • Apply your data engineering skills with Hadoop, Spark, and Scala.
  • Represent the team in various technical forums and build deep partnerships with product management.
  • Analyze business requirements to architect highly secure, robust, and scalable data solutions.
  • Lead internal proof of concept initiatives and quickly design and implement prototypes.
  • Champion efforts to design and implement components of our global data processing systems.
  • Follow and create software best practices and processes.
  • Mentor team members and create an atmosphere of mutual accountability.
  • Play a key role in meetings and discussions with cross-functional and non-technical teams.

Essential Functions:

  • Collaborate with customers to understand their requirements and build solutions that deliver real value.
  • Architect, design, and implement secure, robust, and scalable data solutions.
  • Drive proof of concept initiatives and lead implementation.
  • Mentor team members and foster a culture of mutual accountability.
  • Engage in meetings and discussions with cross-functional teams.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Visa is not offering relocation assistance for this role.

Qualifications

Basic Qualifications:
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Demonstrated leadership in delivering high-quality, large-scale, enterprise-class data applications.
• Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL.
• Expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes).
• Proficiency in creating and managing large-scale data pipelines and ETL processes.
• Experience developing and maintaining Spark pipelines and productizing AI/ML models.
• Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services.
• Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M.
• Strong experience with data storage technologies and databases (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with Agile development, TDD, CI/CD, and various data warehousing solutions.
• Proven track record of building reliable, scalable, and operable data applications.
• Ability to manage component security analysis and collaborate with security teams.
• Strong work ethic, focus on immediate goals, and proven experience as a technical leader.
• Passion for mentoring and helping juniors grow professionally.
• Excellent communication and interpersonal skills, and a strong team player.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 129,400.00 to 182,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Visa is not offering relocation assistance for this role.

Average salary estimate

$156075 / YEARLY (est.)
min
max
$129400K
$182750K

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 Sr. Data Engineer, Visa

As a Senior Data Engineer at Visa, located in the vibrant Foster City, California, you’ll have the unique opportunity to dive into the world of payments technology like never before. This role is not just about coding; it's about shaping the future of digital marketing and engagement through innovative data solutions. You'll be the architect of robust and scalable data pipelines, utilizing your expertise in ETL processes while collaborating closely with a talented team. Think of yourself as a vital cog in a well-oiled machine, driving innovation and ensuring data services are not only reliable but also secure and resilient. At Visa, we pride ourselves on fostering a culture of shared accountability, and as a mentor to your peers, you will help nurture the next generation of data engineers. With cutting-edge tools at your disposal, including Docker, Kubernetes, Hadoop, and Spark, your day-to-day will be an exciting blend of designing, developing, and implementing data solutions that truly make an impact. Plus, our hybrid work model allows you the flexibility to thrive both in the office and remotely. So if you’re passionate about creating data applications that can stand the test of time and excited to work with a team that challenges and supports you, then we want to hear from you. Join Visa today, and let’s connect the world through secure payments together!

Frequently Asked Questions (FAQs) for Sr. Data Engineer Role at Visa
What responsibilities does a Senior Data Engineer at Visa have?

As a Senior Data Engineer at Visa, your key responsibilities include designing, developing, and maintaining robust and scalable data pipelines and ETL processes. You'll also ensure that data services are highly available, secure, scalable, and resilient while driving innovation within the company. Mentoring team members, analyzing business requirements, and collaborating with cross-functional teams are also significant aspects of your role.

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

To be considered for the Senior Data Engineer position at Visa, candidates should have at least 2 years of work experience with a Bachelor’s Degree or more extensive experience with an Advanced Degree. Preferred qualifications include 3 or more years of work experience, expertise in big data engineering, experience with major technologies like Hadoop, and a solid understanding of Python, Java, and SQL.

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How does the Senior Data Engineer at Visa collaborate with other teams?

Collaboration is a core component of the Senior Data Engineer's role at Visa. You’ll work closely with various teams, building partnerships with product management and engaging in discussions that span both technical and non-technical aspects of projects. This collaborative environment ensures that the data solutions you design not only meet business needs but also align with the broader goals of the organization.

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What technologies should a Senior Data Engineer at Visa be familiar with?

The ideal Senior Data Engineer at Visa should be proficient in big data technologies such as Hadoop and Spark, as well as containerization tools like Docker and Kubernetes. Additionally, familiarity with programming languages and databases like Python, Java, SQL, and various data storage technologies is crucial. Experience with ETL processes and data pipeline management is also essential for success in this role.

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What is the work environment like for a Senior Data Engineer at Visa?

The work environment for a Senior Data Engineer at Visa is hybrid, allowing flexibility between remote and in-office work. You'll be expected to spend 2-3 days a week in the office, promoting collaboration and engagement with your teammates. This setting fosters a strong team dynamic while accommodating personal work preferences.

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Common Interview Questions for Sr. Data Engineer
Can you explain your experience with designing ETL processes?

When answering this question, be sure to highlight specific projects you've worked on where you designed ETL processes from the ground up. Discuss the tools you used, the challenges you faced, and how you overcame them. Emphasize the results achieved through your ETL design, as this will showcase your ability to create effective data solutions.

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How do you ensure data security within your work as a data engineer?

To effectively answer this question, discuss your understanding of data security best practices, such as encryption, access controls, and data governance. Share any relevant experiences where you implemented these practices and mention the importance of collaborating with security teams to maintain high standards of data security.

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What approaches do you take to optimize data pipelines?

Optimizing data pipelines involves both identifying bottlenecks and continuously analyzing performance. You might want to mention techniques such as indexing, partitioning, or using more efficient algorithms. Discuss your experiences implementing these optimizations in past roles and the performance improvements you observed.

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Describe a time when you had to mentor a junior team member?

When answering this question, choose a specific instance where you provided guidance or support to a junior engineer. Share details on how you identified their needs, the mentoring methods you used, and the outcomes of your mentorship, such as their growth or project success.

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How do you stay updated on industry trends and technologies related to data engineering?

To stay current, leverage various resources such as tech blogs, webinars, and industry conferences. Mention any specific communities, forums, or professional groups you participate in, as well as any courses or certifications you’ve pursued to enhance your skills. This response shows your commitment to professional development in data engineering.

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What is your experience working with cloud services?

Discuss the specific cloud platforms you've used, such as AWS, and any tools or services like S3, Lambda, or RDS that you have experience with. Provide examples of projects where you've implemented cloud services, focusing on how these platforms improved scalability, reliability, or cost-effectiveness.

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Can you give an example of a challenging data engineering problem you solved?

Choose a specific problem you faced in a previous role. Describe the context, the challenges, the solution you implemented, and the impact it had on the organization. This type of STAR (Situation, Task, Action, Result) response allows you to illustrate your problem-solving abilities effectively.

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Why do you want to work for Visa as a Senior Data Engineer?

In your answer, express your admiration for Visa’s commitment to innovation and security in financial technology. Discuss how your skills align with Visa’s goals and values. Make it personal by mentioning a specific aspect of Visa’s culture or projects that resonates with you, showing that you've done your research.

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How do you handle tight deadlines and high-pressure situations?

Discuss specific strategies you employ to manage stress and complete tasks efficiently under pressure. Mention examples from your past experiences where you successfully met deadlines while maintaining the quality of your work, demonstrating your ability to effectively prioritize and manage workload.

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What are your thoughts on Agile methodologies in data engineering?

Share your experience with Agile methodologies, emphasizing how they facilitate flexibility, collaboration, and continuous improvement in data engineering projects. Provide examples of how you've applied Agile principles in your previous work, showcasing your ability to thrive in a fast-paced development environment.

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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 2, 2025

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