Software Engineer III - Data, AWS, ETL, Java/Python,

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

As a Software Engineer III at JPMorgan Chase within the Consumer & 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:



* Design, build, and maintain scalable services (APIs, microservices, batch/stream processing) with strong engineering fundamentals.


* Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms and experience with data platforms/tools (examples): Kafka, Spark, Flink, Airflow, warehouse/lake (Snowflake).


* Implement new or enhance existing services and components using both object-oriented and functional programming


* Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets


* Executes standard software solutions, design, development, and technical troubleshooting


* Writes secure and high-quality code using the syntax of at least one programming language with limited guidance


* Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications


* Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation


* Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity


* Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development


* Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills:



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


* 5+ years of professional software/data engineering experience, including substantial production work with Spark on Databricks.



* Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions



* Experience with either AWS, Databricks or Snowflake



* 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



* Demonstrable ability to code in one or more languages



* Experience across the whole Software Development Life Cycle



* Exposure to agile methodologies s...