Software Engineer III-Python/PySpark

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer II-Python/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions 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 break down technical problems


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


* 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


* Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives


* Implement best practices for data engineering, ensuring data quality, reliability, and performance


* Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows


* Perform data extraction and implement complex data transformation logic to meet business requirements


* Monitor and executes data quality checks to proactively identify and address anomalies


* Ensure data availability and accuracy for analytical purposes


* Identify opportunities for process automation within data engineering workflows

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 2+ years applied experience.


* Experience with ETL tools like Data Pipeline and workflow management tools (Airflow, etc.)


* Hands on coding experience with PySpark, Python, Iceberg ,AI and AWS


* Experience working with modern Data Lakes : (Snowflake, Databricks etc.)


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Proficiency in automation and continuous delivery methods


* Willingness and ability to learn and pick up new skillsets
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