Software Engineer II - Data Engineer @ JPMorgan Chase Bank

As a Data Engineer II at JPMorgan Chase within the Consumer Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Organizes, updates, and maintains gathered data that will aid in making the data actionable


• Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access


• Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request


• Updates logical or physical data models based on new use cases with minimal supervision


• Adds to team culture of diversity, equity, inclusion, and respect


• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems


• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on Data Engineering concepts and 3+ years applied experience in AWS and Kubernetes


• Proficiency in one or more large-scale data processing distributions such as JavaSpark/PySpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.


• Experience across the data lifecycle along with expertise with consuming data in any of batch (file), near real-time (IBM MQ, Apache Kafka), streaming (AWS kinesis, MSK)


• Advanced at SQL (e. g. , joins and aggregations)


• Working understanding of NoSQL databases


• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.


• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis


• Experience customizing changes in a tool to generate product