Be part of a dynamic team where your distinctive skills contribute to a winning culture. As a Data Engineer II at JPMorgan Chase in Jersey City, New Jersey, United States, you will be a seasoned member of an agile team responsible for designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. You will develop, test, and maintain critical data pipelines and data architectures across multiple technical domains and business functions, ensuring high-quality, reliable data capabilities that support the firm’s strategic objectives. Responsibilities include reviewing controls to protect enterprise data, delivering secure production code, creating architecture artifacts for complex applications, and deriving insights from large and diverse data sets to drive continuous improvement. You will work with SQL and NoSQL databases, ETL processes, AWS-based data pipelines using Python and PySpark, and modern data modeling techniques, while adhering to secure coding standards and a mature SDLC. You will also apply enterprise AI-assisted development tools to improve code quality and delivery speed, with a focus on responsible AI usage.

Be part of a dynamic team where your distinctive skills contribute to a winning culture. As a Data Engineer II at JPMorgan Chase in Jersey City, New Jersey, United States, you will be a seasoned member of an agile team responsible for designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. You will develop, test, and maintain critical data pipelines and data architectures across multiple technical domains and business functions, ensuring high-quality, reliable data capabilities that support the firm’s strategic objectives. Responsibilities include reviewing controls to protect enterprise data, delivering secure production code, creating architecture artifacts for complex applications, and deriving insights from large and diverse data sets to drive continuous improvement. You will work with SQL and NoSQL databases, ETL processes, AWS-based data pipelines using Python and PySpark, and modern data modeling techniques, while adhering to secure coding standards and a mature SDLC. You will also apply enterprise AI-assisted development tools to improve code quality and delivery speed, with a focus on responsible AI usage.