Data Engineer - Sr. Consultant level at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

220850.0

Posted On

18 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Streaming Analytics, Agile Methodologies, Python, Java, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, Splunk, Algorithms, Problem Solving, Collaboration

Industry

IT Services and IT Consulting

Description

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 Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed data analytic platform and solve massive scale problems centered on new payment flows, risk analysis, business and data solutions, cyber security, and B2C platforms. We are looking for Versatile, curious, and energetic Data Engineer who embrace solving complex challenges on a global scale. As a Visa Data Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing data analytic solution that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Develop data analytic solution and platform that serve a significant share of the world’s population, while influencing Visa’s internal standards for scalability, performance, security, and reusability. Collaborate across functions to create design artifacts and deliver best-in-class data engineering solutions supporting multiple Visa technology offerings. Contribute to product quality improvements, service reliability, and new business flows within diverse agile squads. Develop robust, scalable products for a wide range of customers, including end-user merchants, B2B partners, and business-to-government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now, Pay Later capabilities. Make an impact globally and locally through mentorship and continuous learning opportunities. Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa is not offering relocation assistance for this role. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD A Computer Science or similar major. Experience leading delivery of streaming analytics platforms Excellent understanding of algorithms and data structures Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint Strong experience with agile methodologies Excel in partnering with Product leaders and technical product managers on requirements workshops, helping define joint product and technology roadmaps and driving prioritization Experience driving continuous improvements to processes and tools for better developer efficiency and productivity Experience leading design and development of mission-critical, secure, reliable systems Experience leading delivery across multiple technologies: Python, Java, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, Splunk, design patterns, test automation frameworks Experience leading delivery of streaming analytics platforms Excellent understanding of algorithms and data structures Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint Strong experience with agile methodologies Excel in partnering with Product leaders and technical product managers on requirements workshops, helping define joint product/technology roadmaps & driving prioritization Demonstrated ability to drive measurable improvements across engineering, delivery and performance metrics Demonstrated success in leading high performing, multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire, develop and retain high-caliber talent Must demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess what’s possible technically. Strong collaboration and effective communication, with focus on win-win outcomes Growth Mindset: Curious, passionate about technology, and energized by challenging global-scale projects. Challenge the Status Quo: Comfortable pushing boundaries and innovating beyond traditional solutions. Builder: Experience designing, building, and deploying end-to-end solutions for internal and external customers. Comfortable providing independent on-call support in compliance with security regulations. Learner: Continuous drive to learn new technologies, including open-source distributed data analytic platform and eco systems. Partnership: Proven collaboration with Product, Test, PRE, DevOps, and Agile Scrum teams. Preferable: Language and Platform Expertise - Deep expertise with Splunk and platforms for handling transactional data in near real time and batch processes. 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 152,200.00 to 220,850.00 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.

Responsibilities

Develop data analytic solutions and platforms that serve a significant share of the world’s population. Collaborate across functions to create design artifacts and deliver best-in-class data engineering solutions supporting multiple Visa technology offerings.