USA Jobs
Database Engineer
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. Qualifications
Basic Qualifications: Bachelors degree, OR 3+ years of relevant work experience 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 m
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. Qualifications
Basic Qualifications: Bachelors degree, OR 3+ years of relevant work experience 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 m