Software Engineer II: Data Engineer

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer II at JPMorgan Chase within the Consumer & Community Banking Connected Commerce - Banking Payments organization, you serve as 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 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 and advance the firm's strategic business objectives.

Job responsibilities



* Supports review of controls to ensure sufficient protection of enterprise data


* Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems .


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.


* Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.


* 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, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture.


* Contributes to software engineering communities of practice and events that explore new and emerging technologies


* Updates logical or physical data models based on new use cases


* Frequently uses SQL and understands NoSQL databases and their niche in the marketplace


* Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills



* Formal training or certification on Software Engineering concepts and 2+ years applied experience


* Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)


* Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis


* Experience in ETL process/Advance co...