You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Corporate & Investment Bank organization, 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
- Day-to-day support of JPMC's Adabas & Natural Systems in a data-sharing environment.
- Organizes, updates, and maintains gathered data that will aid in making the data actionable
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data analysis support and technical documentation (e.g., clarifying requirements and drafting data definitions), validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted approaches to improve data quality checks and model/change validation routines, ensuring results are validated and aligned to resiliency and security expectations.
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
- Updates logical or physical data models based on new use cases with minimal supervision
- Assuring best practices for stability, integrity, reliability and availability.
- Performance & capacity monitoring, tuning and management.
- Incident and problem management, root cause analysis and resolution.
- Application development team support – advisory, consultancy.
- Collaborate with Infrastructure and Business teams to deliver end-to-end support.
Required qualifications, capabilities, and skills
- Experience of Adabas & Natural Systems in a mainframe z/os environment.
- Basic knowledge of the data lifecycle and data management functions
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
- Working knowledge of using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Basic knowledge of data system components to determine controls needed
- Understanding of JES2 and JCL.
- Exposure to CICS, MQ, automation, scheduling tool (i.e. CA7), security product (i.e. RACF).
Preferred qualifications, capabilities, and skills
- Familiarity with Microsoft Office products, ServiceNow, Zoom, Outlook, Symphony.
- Natural, Cobol or REXX programming language and design technique skills would be beneficial.