Software Engineer II - PySpark/AWS/Databricks

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 at JPMorgan Chase within the Corporative Sector, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.

As an emerging member of a software engineering team, you execute software 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 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


* 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 data processing frameworks and tools, including Parquet, Iceberg, PySpark, Databricks, Glue, Lambda, EMR, ECS, and Aurora.


* Advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security practices.


* Proficiency in programming languages, and experience in Apache Spark for data processing and application development.


* Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.


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


* Demonstrated expertise in software applications and technical processes within specialized disciplines such as cloud computing, artificial intelligence and machine learning


* Proficiency in automation and continuous delivery methods, enhancing efficiency and reliability.


* In-depth understanding of the financial services industry and its IT systems.


* Comprehensive understanding of all aspects of the Software Development Life Cycle.

Preferred ...