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Data and Feature Engineer - job 1 of 3

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

This position is for a Data and Feature Engineer with good academic background in computer science and development experience who will focus on creating new capabilities for AI Platform while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your potential technical leadership, problem-solving abilities, coding, testing, and debugging skills will be fully developed in this position.  You must be dedicated to filling product backlog and delivering production-ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with interests in data and feature engineer in the AI training and inferencing end-to-end platform. The candidate will perform hands-on activities including design, documentation, development, and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

This position will be based in Austin, TX. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

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 able to offer Immigration support for this role.

Qualifications

Basic Qualifications:

  • Minimum of 6 months of work experience or a Bachelor's Degree

Preferred Qualifications:

  • 2 or more years of work experience
  • Expert in at least one of the following: RUST, Spark, Python, Golang, Java, or C/C++.
  • Experience with Feature Engineering/ 'Feature Store' is preferred
  • Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing
  • Experience with streaming systems like Kafka and related technologies
  • Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
  • Exposure to leading-edge end-to-end AI pipeline in the following area: Machine Learning, Deep Learning, Stream Computing, MLOps.

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 95,200.00 to 134,600.00 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

$114900 / YEARLY (est.)
min
max
$95200K
$134600K

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 Data and Feature Engineer, Visa

Join Visa, a world leader in payments and technology, as a Data and Feature Engineer based in the vibrant city of Austin, TX! If you have a strong academic background in computer science and a passion for building innovative solutions, this could be the opportunity for you. At Visa, we connect the world with the most secure and convenient payment network, and we want you to be part of our mission. In this role, you'll work closely with Agile Scrum teams to enhance our AI Platform by creating new features and refining existing functionalities. Your role as a developer will allow you to unleash your coding, testing, and debugging talents, while you tackle exciting challenges. We’re seeking individuals who are proactive and eager to learn as they engage in tasks like designing, documenting, developing, and testing new functionalities. A key aspect of this position is flexibility; you'll need to adapt to various responsibilities depending on team priorities. If you're ready to contribute to a constructive and innovative environment where your technical vision can flourish, we'd love to tell you more about what makes Life at Visa so exceptional! This position offers a hybrid work model, which means you'll be able to balance remote work with in-office collaboration 2-3 days a week. Come join us and make a difference in a purpose-driven, dynamic company!

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

As a Data and Feature Engineer at Visa, your main responsibilities will include developing new capabilities for the AI Platform, improving the code base, and enhancing development processes. You’ll engage in Agile Scrum team activities, participate in refactoring existing functionalities for better performance, and contribute to the overall product backlog by delivering production-ready code.

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What qualifications do I need to apply for the Data and Feature Engineer position at Visa?

To apply for the Data and Feature Engineer position at Visa, you should have at least a Bachelor's degree in Computer Science, along with a minimum of 6 months of work experience. Preferred qualifications include 2 or more years of experience, expertise in programming languages such as RUST, Python, or Java, and familiarity with feature engineering and large-scale distributed systems.

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What programming skills are most valuable for a Data and Feature Engineer at Visa?

For a successful Data and Feature Engineer role at Visa, proficiency in at least one programming language is crucial. We prefer candidates with experience in RUST, Spark, Python, Golang, Java, or C/C++. Additionally, knowledge of machine learning and deep learning frameworks will be an advantage as you'll work with cutting-edge technologies.

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What can I expect from the work culture as a Data and Feature Engineer at Visa?

The work culture at Visa is dynamic and collaborative. As a Data and Feature Engineer, you’ll be part of Agile Scrum teams where innovation is celebrated. There is a strong emphasis on flexibility, continuous learning, and teamwork, enabling you to contribute meaningfully while growing your professional skills.

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Is there travel involved for the Data and Feature Engineer role at Visa?

Yes, the Data and Feature Engineer position at Visa requires occasional travel, estimated at 5-10% based on departmental needs. This provides a great opportunity to engage with different teams and projects across various locations.

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Common Interview Questions for Data and Feature Engineer
Can you discuss your experience with programming languages relevant to the Data and Feature Engineer role at Visa?

When discussing your experience with programming languages, be specific about the languages you've used, the projects you’ve worked on, and any significant achievements. Highlight your proficiency in languages such as Python or Java, and consider providing examples of how you applied these skills in real-world scenarios to solve problems or develop features.

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What strategies do you use to ensure code quality and maintainability?

To ensure code quality and maintainability, emphasize the importance of code reviews, unit testing, and following best coding practices. Share specific methods you apply, such as utilizing automated testing frameworks, engaging in pair programming, or consistently refactoring code to improve readability and performance.

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How do you approach feature engineering in your projects?

When approaching feature engineering, it’s essential to understand the data and its significance. Discuss your process for identifying relevant features, evaluating their impact on model performance, and iterating based on feedback. Share examples where you successfully enhanced a model’s performance through careful feature selection and transformation.

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Can you explain your experience with Agile methodologies?

In your response, define your understanding of Agile methodologies, such as Scrum or Kanban, and how they’ve influenced your work. Highlight your role in Agile teams, discuss how you contributed to sprint planning, daily stand-ups, and retrospectives, and mention any improvements you've implemented to enhance team efficiency.

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Describe a challenge you faced while developing a distributed system and how you overcame it.

Provide a specific example of a challenge you encountered, such as scalability issues or latency, while developing a distributed system. Discuss your thought process, the steps you took to analyze the problem, and the solutions you implemented to overcome the obstacles, along with the outcomes of your actions.

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What tools and technologies do you prefer for data visualization and analysis?

Identify the specific tools and technologies you are familiar with, such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn. Explain your rationale for using these tools and provide examples of how you've utilized them in previous projects to improve decision-making and visibility into data trends.

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How do you prioritize tasks when managing multiple projects as a Data and Feature Engineer?

Discuss your approach to task prioritization, which may include leveraging project management tools like JIRA to track tasks and deadlines. Explain how you align priorities with team goals, communicate effectively with stakeholders, and adapt to shifting priorities while maintaining productivity.

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What do you think is the key to effective teamwork in tech roles like Data and Feature Engineering?

Effective teamwork in tech roles hinges on open communication, trust, and shared goals. Emphasize the importance of regular check-ins, feedback loops, and respecting each team member’s strengths. Share examples where you fostered collaboration to achieve project objectives successfully.

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

To stay informed about the latest trends and advancements in AI and data engineering, mention the blogs, podcasts, and communities you follow, such as Towards Data Science or conferences you attend. Share how you apply new knowledge to your work, demonstrating your commitment to continuous learning.

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Discuss a project where you utilized MLOps practices.

Share a project example where you implemented MLOps practices. Focus on aspects like version control, automation in model deployment, and monitoring model performance. Highlight the importance of integrating development and operations to ensure a seamless workflow and enhanced collaboration.

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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
December 12, 2024

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