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Sr. Data Engineer - job 7 of 29

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

At Visa, we don't just process payments, we innovate the way the world pays. As a Senior Data Engineer in our Value Added Services – Digital Marketing & Engagement team, you’ll be at the heart of this innovation. Your role is all about designing and building robust, scalable data infrastructure and pipelines in a dynamic, agile environment. You’ll collaborate with talented colleagues, pushing boundaries and creating solutions that transform the payment experience. From developing and maintaining ETL processes to utilizing cutting-edge technologies like Docker, Kubernetes, and Spark, your work will directly impact our ability to serve clients across the globe. Imagine collaborating with cross-functional teams, all while leading proof of concept initiatives and mentoring fellow engineers. At Visa, your skills in SQL, Python, and big data engineering will be put to the test as you analyze requirements and architect secure, resilient data solutions. It’s not just about meeting expectations; it's about exceeding them and driving real value for businesses. Plus, enjoy a hybrid work environment that offers flexibility while fostering a culture of accountability and teamwork. If you’re looking to make a difference in a fast-paced, purpose-driven setting, then this is the role for you. Join us at Visa and experience a career that is more than just a job—it's a chance to leave a lasting mark on the payments industry.

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

As a Senior Data Engineer at Visa, you will have the opportunity to design, enhance, and build data infrastructure while developing scalable ETL processes. You will ensure that our data services are secure and highly available while utilizing cutting-edge technologies like Docker, Kubernetes, and Apache Spark. The role involves collaborating with cross-functional teams and driving innovation in data products, which is essential for delivering exceptional value to our clients.

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

To thrive as a Sr. Data Engineer at Visa, you should have at least 2 years of relevant experience combined with a Bachelor’s Degree, or an advanced degree with less experience. Proven expertise in big data technologies like Hadoop and Spark, strong programming skills with Java and Python, and experience in data pipeline management are crucial. Knowledge of containerization technologies and data warehousing solutions is also preferred.

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How does collaboration take place among the data engineering team at Visa?

At Visa, collaboration is vital. As a Senior Data Engineer, you will work closely with product management and cross-functional teams to analyze business requirements and architect robust data solutions. Mentoring junior team members is also a key aspect of your role, fostering an atmosphere of mutual accountability, creativity, and excellence.

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What technologies should a Sr. Data Engineer be familiar with when working at Visa?

A Sr. Data Engineer at Visa should be proficient in big data technologies such as Hadoop and Spark, and fluent in programming languages like Python and Java. Additionally, familiarity with ETL processes, container technologies like Docker and Kubernetes, and database management systems like MySQL and MongoDB is essential. Understanding best practices in Agile development and CI/CD is advantageous.

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What opportunities for professional growth does Visa offer for Sr. Data Engineers?

Visa is committed to professional development and growth. As a Sr. Data Engineer, you can expect to mentor others, lead innovative projects that impact the industry, and engage in continuous learning through access to training resources. The collaborative environment encourages knowledge sharing and skill advancement, making it a great place to take your career to the next level.

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Common Interview Questions for Sr. Data Engineer
Can you describe your experience with building data pipelines as a Sr. Data Engineer?

When asked about your experience with data pipelines, highlight specific projects where you developed scalable ETL processes. Discuss the tools you used, such as Apache Spark or Python, and any challenges faced during implementation. Emphasize your contributions to ensuring data integrity and accessibility.

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How do you ensure the security of data in your engineering practices?

To answer this, discuss your understanding of security best practices and how you implement them in your projects. Mention specific experiences where you conducted security analyses or collaborated with security teams to address vulnerabilities, ensuring compliance and protecting sensitive data.

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What strategies do you employ for effective collaboration with cross-functional teams?

Share examples of how you've worked with colleagues from different departments. Illustrate your communication styles, tools used for collaboration, and how you ensure that all voices are heard in project discussions. Highlight any successful outcomes from this collaborative approach.

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Explain a time when you had to lead a proof of concept initiative. What was the outcome?

Discuss a specific initiative where you led a proof of concept. Detail the objectives you set, the processes you implemented, and the results achieved. Focus on how this initiative benefited the team or organization and what you learned from the experience.

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How do you keep abreast of the latest technologies relevant to data engineering?

Express your dedication to continuous learning for staying updated on trends by attending workshops, webinars, or engaging in online courses. You can mention specific resources, communities, or conferences that you follow for the latest advancements in data engineering.

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What data storage technologies are you most comfortable working with?

Identify the data storage technologies you’ve worked with, such as SQL databases like MySQL and PostgreSQL, or NoSQL databases like MongoDB. Provide examples of projects where you've utilized these technologies and discuss how you selected the appropriate technology for specific use cases.

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Can you describe a challenging technical issue you've encountered, and how you resolved it?

When discussing a technical challenge, explain the context, the problem faced, and the steps you took to resolve it. Focus on your analytical skills and any collaboration with your team that led to a successful resolution, showcasing your problem-solving capabilities.

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How do you approach mentoring junior engineers?

Outline your mentoring style, emphasizing patience and the importance of creating a supportive environment. Share examples where you've successfully guided junior engineers through projects and how you track their progress, fostering their growth within the team.

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What role does Agile development play in your workflow?

Describe your experience working in Agile environments, including your participation in sprints, stand-ups, and retrospectives. Discuss how the Agile methodology has improved your project's efficiency and allowed for flexibility in response to changing requirements.

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What are your thoughts on data quality, and how do you ensure it in your work?

Discuss your understanding of data quality metrics and the importance of maintaining data integrity. Provide examples of techniques you use to validate and clean data, ensuring that the outputs of your data pipelines meet high-quality standards and deliver reliable results.

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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...

9195 jobs
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Full-time, hybrid
DATE POSTED
April 4, 2025

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