Software Engineer II - Data Engineer - Java, Spark, Databricks

Role Overview

As a Software Engineer III at JPMorgan Chase within 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

• Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Leverage enterprise-authorized, artificial intelligence-assisted coding tools to improve code quality, delivery speed, and productivity.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including automation capabilities.
• Produce architecture and design artifacts for complex applications.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets.
• Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture.

Requirements

• Formal training or certification on software engineering concepts and at least 3+ years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.
• Hands-on experience with advanced Java frameworks (including Spring and Spring Boot) and experience with database design, data modeling, and SQL.
• Experience with at least one cloud vendor: AWS, GCP, or Azure.
• Experience working as a data engineer transforming large, complex data using enterprise tools.
• Hands-on experience using enterprise-authorized AI-assisted software development tools.
• Understanding of responsible AI use in engineering workflows.

Preferred Qualifications

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.
• Familiarity with Apache Spark, Databricks, and data lake architecture.
• Familiarity with APIs, microservices frameworks, and container technologies.

Skills

• Java
• Spring Boot
• SQL
• AWS
• Apache Spark