Senior Software Engineer - Data Engineering

Software Engineer III - Data Engineering, PySpark, AWS, Databricks

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 JPMorganChase within the  Employee Platforms Team, 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
• 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 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

   

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience with Databricks platforms for big data analytics and processing
• Hands-on experience in Cloud technologies (AWS)
• Proficient in coding in one or more languages: Python, PySpark, Scala, Java, and SQL
• Hands-on practical experience in system design, application development, testing, and operational stability
• 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

• Experience with Claude models (Sonnet, Opus, Haiku, etc.) to generate code and integrate the code with other components
• Experience with Agentic AI
• Proficiency with GitHub Copilot and Claude Code
• Experience with data orchestration tools such as Apache Airflow

Experience Level

Senior Level