Data Engineer

Role Overview

As a Data Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data analysis support and technical documentation
• Applies reuse-first, AI-assisted approaches to improve data quality checks and model/change validation routines
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases
• Adds to team culture of diversity, opportunity, inclusion, and respect

Requirements

• Formal training or certification on data engineering concepts and 3+ years applied experience
• Hands-on experience using PySpark, AWS, and Python for creating data pipelines
• Ownership of data architecture, data quality, scalability, governance, and operational reliability
• Working knowledge of using enterprise-authorized AI capabilities within the work environment
• Ability to review and validate AI-assisted outputs
• Advanced proficiency in SQL (e.g., joins and aggregations)
• Working understanding of NoSQL databases
• Significant experience with statistical data analysis

Skills

• Python
• PySpark
• AWS
• SQL
• NoSQL