Software Engineer III-ETLPySpark

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

As a Software Engineer III-ETL/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability 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 opportunity inclusion and respect
• 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 3 years applied experience
• Previous experience in Data Engineering with background in both legacy and modern tech stack - Ab Initio Teradata PySpark AWS Cloud and Snowflake
• Expertise in Python programming language and SQL
• Hands-on practical experience delivering system design application development testing and operational stability
• Demonstrated proficiency in automation and continuous delivery methods
• Demonstrated proficiency in all aspects of the Software Development Life Cycle
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
• Practical cloud native experience

Preferred qualifications capabilities and skills

• Previous experience working on credit card related projects
• Working knowledge of DBT Airflow Data Modelling