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Sr. Data Engineer - job 7 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

Payments are a very exciting and fast-developing area with a lot of new and innovative ideas coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. Visa is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area. 

 

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you! 

 

The Ecosystem & Operational Risk team is responsible for building critical risk and fraud detection services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide solutions to detect, prevent, and mitigate fraud for Visa and its clients. 

 

Essential Functions

  • Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
  • Understand business requirements and create design documentation.
  • Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
  • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
  • Engagement in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding of the business needs is important.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

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)
Experience in creating data driven business solutions and solving data problems using a wide variety of technologies such as Hadoop, Hive, Spark, Kafka, Redis, NoSQL, as well as traditional data technologies like RDBMS, MySQL a plus.
Experience writing complex/advanced SQL queries.
Hands on experience in a Unix/Linux environment.
Application development experience in Java/J2EE or other frameworks.
Experience with Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git etc.
Experience with Agile and Test-Driven Development methodology.
Strong analytical skills with excellent problem-solving ability.
Ability to present complex ideas in a clear, concise way.
Past experience with ML technologies like TensorFlow, Pandas is a plus.

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 116,500.00 to 164,500.00 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.

Average salary estimate

$140500 / YEARLY (est.)
min
max
$116500K
$164500K

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

If you're an experienced Sr. Data Engineer looking to be part of something truly impactful, Visa in Austin, TX, might just be the place for you! As a world leader in payments and technology, Visa is riding the wave of innovation in the payments space, and we’re inviting you to join our Ecosystem & Operational Risk team. Here, you'll work collaboratively with a diverse group of professionals including Product Managers, Architects, and Developers to create robust data-driven solutions that protect our clients against fraud. Your role will involve interpreting business requirements, designing detailed documentation, and presenting technical ideas to team members in a comprehensible manner. You’ll have the opportunity to use cutting-edge technologies like Hadoop, Spark, and various data solutions to tackle complex data problems. This isn’t just a job; it’s your chance to be part of a team that's critical to forging secure payment pathways across the globe. With Visa’s strong emphasis on tech innovation, your contributions in this hybrid role will be pivotal in ensuring we stay ahead of fraud trends and deliver exceptional service. Curious to learn more? Dive into this exciting prospect and let’s uplift everyone, everywhere, together!

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

As a Sr. Data Engineer at Visa, you will be responsible for collaborating with various project team members to develop and implement data driven business solutions. This includes understanding business requirements, creating design documentation, and engaging in risk management to ensure successful project execution. Your role will also involve the architecture, design, development, and testing of risk and fraud detection services, providing innovative solutions to enhance Visa's operational capabilities.

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

To qualify for the Sr. Data Engineer position at Visa, you should ideally have 3 or more years of work experience complemented by a Bachelor's degree or an advanced degree. Candidates with strong technical backgrounds in various data technologies including Hadoop, Spark, and SQL, along with hands-on experience in application development and CI/CD tools will have an advantage. Additionally, familiarity with Agile methodologies is highly desirable, as is the ability to convey technical concepts clearly.

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

A Sr. Data Engineer at Visa should be well-versed in both modern and traditional data processing technologies. Proficiency in Hadoop, Hive, Spark, Kafka, and NoSQL databases is vital, alongside experience with RDBMS like MySQL. Knowledge of programming frameworks such as Java/J2EE, as well as CI/CD tools like Jenkins and Git, will also enhance your contributions to the team.

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What qualities make a successful Sr. Data Engineer at Visa?

A successful Sr. Data Engineer at Visa possesses strong analytical skills and problem-solving abilities. You should be adept at presenting complex technical ideas simply and effectively. Collaboration skills, attention to detail, and a proactive approach to risk management are essential qualities that will help you thrive in this pivotal role within Visa’s Ecosystem & Operational Risk team.

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Is the Sr. Data Engineer position at Visa remote or hybrid?

The Sr. Data Engineer position at Visa is a hybrid role, meaning that you will work both from the office and remotely. The exact number of in-office days will be determined by your hiring manager, allowing for a flexible work environment that meets the needs of both the department and employees.

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Common Interview Questions for Sr. Data Engineer
Can you explain your experience with data technologies like Hadoop and Spark as a Sr. Data Engineer?

In your response, focus on specific projects where you utilized Hadoop and Spark to solve data challenges. Highlight how these technologies improved data processing efficiencies, how you managed data pipelines, and the outcomes of your work. Providing metrics or tangible results will strengthen your answer.

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How do you approach risk management in data projects?

Discuss your methodology for identifying and assessing risks within data projects. Provide examples of how you've documented, tracked, and managed risks in past experiences, along with steps taken to mitigate them. Emphasize your communication of risk statuses to stakeholders, showcasing your ability to maintain clarity on project health.

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What is your experience with SQL and data query optimization?

Talk about your proficiency in writing complex SQL queries and how you've optimized them for better performance. Provide examples of specific query challenges you’ve faced and the results of your optimizations. Highlight your understanding of database indexing and its impact on query efficiency.

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Describe a time when you had to present technical solutions to a non-technical audience.

Use this opportunity to explain how you adjusted your communication style to make complex technical issues understandable. Share a story where you successfully conveyed your solution to a diverse audience, focusing on how you ensured clarity and engagement throughout your presentation.

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How do you ensure that your designs meet business requirements?

Outline your strategy for collaborating with business stakeholders to fully grasp their needs. Illustrate your process for gathering requirements and how you incorporate feedback throughout development to align the final product with expectations. Mention any tools or techniques you use for effective documentation and communication.

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What role does Continuous Integration play in your development process?

Discuss how you leverage Continuous Integration in your work, highlighting its benefits for delivering quality product features. Explain how CI practices have improved your team's deployment processes and reduced errors in previous projects, citing specific examples if possible.

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What challenges have you faced when working in a Unix/Linux environment?

Share specific challenges you’ve encountered in Unix/Linux, such as system performance issues or scripting difficulties. Discuss how you overcame these challenges and the solutions you implemented, indicating your adaptability and technical problem-solving skills.

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How do you stay current with new trends and technologies in data engineering?

Discuss your commitment to continuous learning through resources such as online courses, webinars, and professional networking. Mention specific topics or technologies you’re currently exploring and how this knowledge enhances your contribution as a Sr. Data Engineer.

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Describe your experience with Agile methodologies in your past projects.

Highlight your previous roles where you’ve applied Agile methodologies, detailing your specific contributions to sprint planning, retrospectives, and daily stand-ups. Discuss how Agile has enhanced collaboration and efficiency within your teams.

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What is your approach to teamwork and collaboration as a Sr. Data Engineer?

Emphasize the value of team dynamics and communication. Share specific instances where you collaborated closely with cross-functional teams, illustrating your ability to foster a positive working environment while achieving project goals.

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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 9, 2025

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