Software Engineer III- Python Data Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Risk technology, Corporate Sector, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• 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


• 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 and 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


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

Required qualifications, capabilities, and skills

• Formal training or certification on team leadership concepts and advanced applied experience


• Hands-on practical experience in system design, application development, testing, and operational stability


• Proficient in coding in Python


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


• Overall knowledge of the Software Development Life Cycle


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


• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies- AWS


• Exposure to Tableau ( Dash boards)


• Exposure to Financial Domain