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

Software Engineer III - Bigdata, Spark, AWS - (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 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.

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
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• 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) with experience using one or more leading cloud providers.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

• Knowledge of industry-wide Big Data technology trends and best practices.

• Good to Have Databricks Exposure
• Exposure to cloud technologies

Experience Level

Senior Level