Staff Data Engineer

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

As a Staff Data Engineer, you will establish data processes, data solutions, and automations, based on business and technical requirements by leveraging Visa supported big data technologies and third-party tools.

 Essential Functions

Deliver small to large data engineering projects either individually or as part of a project team.

Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, SQL etc.

Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement BI data sets.

Find opportunities to create and automate repeatable analyses or build streamlined data flows for business owners.

Develop solutions within an agile development process leveraging Visa’s core data.

Participate in business requirements gathering, effort sizing, and architecture planning

Provide operational monthly production support.

Communicate complex concepts and the results of the analyses in a clear and effective manner.

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.

Qualifications

Basic Qualifications
• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• 5+ years of work experience with a bachelor’s degree in STEM field or at least 3 years of work experience with an Advanced degree (e.g. Masters).
• Build and maintain high performing ETL processes in Hadoop including data quality and testing.
• Advanced knowledge of SQL with experience with HQL, Presto, etc.
• Experience in Python, Spark, and exposure to scheduling tools like Apache Airflow is preferred.
• Experience working in an Agile or fast-paced and dynamic environment.
• Should have strong problem-solving capabilities and ability to quickly propose feasible solutions.
• Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs to maintain data pipelines for completed projects.
• Effectively communicate status, issues, and risks in a precise and timely manner.
• Experience with visualization software (e.g. Tableau/PowerBI) is a strong plus.
• Visa experience or knowledge of payments industry is a plus, but not mandatory

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 155,300.00 to 225,300.00 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.