Software Engineer III - Bigdata, Spark, AWS - (Data Engineering)

Role Overview

As a Software Engineer III at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver 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.

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
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities

Requirements

• Formal training or certification in software engineering fundamentals, with 3+ years of practical, applied experience
• Strong end-to-end experience across the full SDLC, delivering work within an Agile framework
• Expert proficiency in Java, AWS, Python, Spark/PySpark, and database technologies
• Hands-on capability in system design, application development, testing, and maintaining production/operational stability
• Proficient programming skills in one or more modern development languages
• Experience building, debugging, and maintaining code in a large enterprise environment, including database querying
• Solid understanding of Agile engineering practices including CI/CD, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes across domains (e.g., cloud, AI/ML, mobile)
• Hands-on experience using enterprise-authorized AI-assisted software development tools
• Understanding of responsible AI use in engineering workflows

Nice to Have

• Knowledge of industry-wide Big Data technology trends and best practices
• Good to Have Databricks Exposure
• Exposure to cloud technologies

Skills

• Java
• AWS
• Python
• Spark
• Databricks