Job Details

ID #54244505
Estado Ohio
Ciudad Mentor
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente Visa
Showed 2025-07-29
Fecha 2025-07-29
Fecha tope 2025-09-27
Categoría Etcétera
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Database Engineer

Ohio, Mentor, 44060 Mentor USA
Aplica ya

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.

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