
Software Engineer II
at J.P. Morgan
Posted 25 days ago
No clicks
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Join an agile Consumer & Community Banking engineering team to design, develop, and deliver secure, scalable data and software solutions. The role focuses on acquiring and managing data, transforming ETL to cloud platforms (AWS/Databricks/Snowflake), and implementing services using object-oriented and functional programming. You'll apply Spark fundamentals, contribute across the SDLC, and ensure data quality, operational stability, and secure, high-quality code. Collaboration, troubleshooting, and exposure to cloud and CI/CD practices are core to the position.
Location: New York, NY, United States
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 Consumer & Community Banking, 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:
- Acquire and manage data from various sources and storage systems
- Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
- 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 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 2+ years applied experience.
- 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
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
Preferred qualifications, capabilities, and skills:
- Experience in AI is a plus
- Proficiency in both Python and Java is a major plus
- Experience with Infrastructure as Code (Terraform)
- Familiarity with relational and non-relational databases
- Exposure to cloud technologies




