Senior Software Engineer - Data Engineering (Java/Python)

Software Engineer III- (Java/Python, Data Engineering)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III (Data, Java / Python) at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture team to design and deliver advanced data engineering solutions and trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 and 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

 

 

Required qualifications, capabilities, and skills

 

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Formal training or certification on software & data engineering concepts and  applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages eg. Java, Python , C/C++
• Experience developing, debugging, and maintaining code in a large corporate environment, with expertise in both application and data platforms, using modern programming and database querying languages.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Proficiency/ sound technical understanding & awareness in Data engineering, AI/ML
• Practical cloud native experience
• Experience with modern data technologies such as Databricks or Snowflake.
• In-depth knowledge of the financial services industry and their IT systems

 

 

Preferred qualifications, capabilities, and skills

• Demonstrated expertise of software applications and technical processes within a technical discipline (e.g., data engineering, cloud, artificial intelligence, machine learning etc.)

• Working knowledge of Databases, Data Lake, Data Mesh and big data processing technologies such as PySpark

   

Experience Level

Senior Level