Data Lead Software Engineer - Python, Pyspark and AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you are 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 firm's 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 breakdown technical problems.


* Develops secure and high-quality production code, and reviews and debugs code written by others.


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* 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.


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience.


* Proficiency designing and implementing data pipelines for both batch and streaming use cases using Spark and public cloud-native technologies.


* Experience developing applications on AWS, leveraging services such as Lambda, S3, Glue, Step Functions, Airflow, and integrating with enterprise data platforms such as Snowflake and Databricks.


* Strong Python development skills, including AI development with a focus on agentic systems.


* Ability to independently design and implement complex logic, algorithms, and workflows for scalable distributed systems


* Hands-on experience with CI/CD automation and build pipelines/tools (e.g., Git, Jenkins, Maven) and AI-assisted coding tools


* Proficiency with large-scale data processing frameworks (e.g., PySpark), including knowledge of data pipeline desig...