PySpark Software Engineer III - Python/Java/SQL
JPMorgan Chase & Co., Boston, MA, United States
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 Commercial & Investment Bank, 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, designs, develops, and troubleshoots software solutions, applying innovative thinking to solve complex technical challenges
Write secure, high-quality production code and maintain robust algorithms that integrate seamlessly with enterprise systems using Python, Java, Agentic AI and coding assistants.
Produce architecture and design artifacts for complex applications, ensuring all design constraints are met throughout software development
Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting to enable data-driven decision-making
Design and implement robust data ingestion & curation pipelines to bring diverse datasets into the cloud / Databricks
Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies
Foster a team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 3+ years applied experience
Practical experience in system design, application development, testing, and ensuring operational stability
Strong in one or more programming languages including Python, Spark, Java and SQL.
Experience developing, debugging, and maintaining code in a large corporate environment, using modern programming and database querying languages
Comprehensive understanding of the Software Development Life Cycle (SDLC)
Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices
Demonstrated expertise in software applications and technical processes within disciplines such as data platforms, cloud, Agentic AI frameworks and AI/ML
Preferred qualifications, capabilities, and skills
Experience in data engineering, with a strong understanding of data modeling and ETL processing.
Experience with Databricks, CockroachDB, Apache Iceberg, Trino, Springboot, Kafka, RESTful APIs and AWS.
Familiarity with agentic AI frameworks such as ADK, LangChain/LangGraph, AutoGen or CrewAI
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As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, 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, designs, develops, and troubleshoots software solutions, applying innovative thinking to solve complex technical challenges
Write secure, high-quality production code and maintain robust algorithms that integrate seamlessly with enterprise systems using Python, Java, Agentic AI and coding assistants.
Produce architecture and design artifacts for complex applications, ensuring all design constraints are met throughout software development
Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting to enable data-driven decision-making
Design and implement robust data ingestion & curation pipelines to bring diverse datasets into the cloud / Databricks
Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies
Foster a team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 3+ years applied experience
Practical experience in system design, application development, testing, and ensuring operational stability
Strong in one or more programming languages including Python, Spark, Java and SQL.
Experience developing, debugging, and maintaining code in a large corporate environment, using modern programming and database querying languages
Comprehensive understanding of the Software Development Life Cycle (SDLC)
Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices
Demonstrated expertise in software applications and technical processes within disciplines such as data platforms, cloud, Agentic AI frameworks and AI/ML
Preferred qualifications, capabilities, and skills
Experience in data engineering, with a strong understanding of data modeling and ETL processing.
Experience with Databricks, CockroachDB, Apache Iceberg, Trino, Springboot, Kafka, RESTful APIs and AWS.
Familiarity with agentic AI frameworks such as ADK, LangChain/LangGraph, AutoGen or CrewAI
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