Database 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

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 systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity:

Visa's Technology Organization is seeking a motivated and curious entry-level Database Engineer to join our dynamic data team in Mentor, Ohio. This role is a fantastic opportunity to work with a powerful blend of technologies including Microsoft SQL Server (SSIS), Python, and AWS Databricks.

You will be instrumental in building and maintaining the data pipelines that support critical business solutions. Reporting to the team Director, you will work alongside experienced professionals in a collaborative environment with ample opportunities for mentorship and career growth within Visa. If you are a creative problem-solver with a passion for data, we encourage you to apply.

Key Responsibilities

ETL Pipeline Development: Design, develop, and maintain robust ETL pipelines using SQL Server Integration Services (SSIS) to move and transform data from various sources, including Microsoft SQL Server and MongoDB.

Python Integration: Author and integrate Python scripts within SSIS packages to handle complex data processing logic and leverage advanced data structures.

Cloud Data Engineering: Develop Python and PySpark code in our AWS Databricks environment to extract and prepare data for reporting and secure flat file deliveries to clients and AWS storage.

Reporting & Automation: Create, automate, and support ad-hoc and recurring reports for internal and external stakeholders, primarily using SSIS and SQL.

Troubleshooting & Quality Assurance: Monitor data pipeline performance, investigate and resolve issues, and ensure the integrity and accuracy of our data.

Collaboration & Version Control: Collaborate effectively with team members using Git for version control, code reviews, and project management.

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

Qualifications

Basic Qualifications

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

Preferred Qualifications

2 or more years of work experience

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.

Strong foundational knowledge of relational databases and SQL.

Familiarity with Microsoft SQL Server and specifically SSIS.

Basic programming skills, with a preference for or strong interest in learning Python.

Excellent problem-solving skills and a creative approach to challenges.

High attention to detail and a commitment to producing high-quality work.

A strong desire to learn and adapt to new technologies in a fast-paced environment.

Ability to work effectively both independently and as part of a collaborative team.

Internship or academic project experience related to ETL, data processing, or database management.

Exposure to a cloud environment, particularly AWS.

Hands-on experience with a version control system like Git.

Familiarity with NoSQL databases (e.g., MongoDB) or big data platforms (e.g., Databricks/Spark) is a significant 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 84,600.00 to 119,650.00 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.