Python Data Engineer II

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact.

Your unique combination of design thinking and experience will help us achieve new heights.

As a Data Engineer II at JPMorganChase within the Consumer & Community Banking, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.

As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

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, 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

Required qualifications, capabilities, and skills


* Formal training or certification on Software Engineering concepts and 2+ years applied experience


* Experience in ETL process/Advance concepts


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


* Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark


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


* Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck


* 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.)


* Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg,...