About the Company: J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Role: Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorgan Chase within the Employee Platforms, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Key Responsibilities: Builds data processing pipeline and deploys applications in productionCreates and updates logical or physical data models based on new use casesAdvises and makes custom configuration changes in one to two tools to generate a product at the business or customer requestFrequently uses SQL and understands NoSQL databases and their niche in the marketplaceSupports review of controls to ensure sufficient protection of enterprise dataAdds to team culture of diversity, opportunity, inclusion, and respect