Data Engineering Associate

Join a team where your engineering skills directly shape the technology powering millions of customers and businesses worldwide.

At JPMorganChase, we invest in our engineers, offering the tools, mentorship, and scale to help you grow from a strong individual contributor into a well-rounded technologist.

As a Software Engineer III at JPMorganChase, you will contribute to the design, development, and delivery of scalable software solutions that support critical business operations.

You will work within a collaborative engineering team, applying your technical expertise to solve complex problems while growing your skills across the full software development lifecycle.

Your work will directly impact the reliability, performance, and innovation of systems used by clients and colleagues across the firm.

Job responsibilities


* Design and develop high-quality, scalable software solutions aligned with business and technical requirements


* Contribute to all phases of the software development lifecycle, including design, coding, testing, and deployment


* Collaborate with cross-functional teams including product, architecture, and operations to deliver end-to-end solutions


* Identify and resolve technical issues, performing root cause analysis to prevent recurrence


* Write clean, maintainable code and participate in peer code reviews to uphold engineering standards


* Support continuous integration and continuous delivery pipelines to improve deployment frequency and reliability


* Contribute to technical documentation, ensuring clarity and accuracy for internal and external stakeholders


* Participate in agile ceremonies, providing input on sprint planning, estimation, and retrospectives


* 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 on software engineering concepts and 3+ years applied experience


* Strong data modeling expertise with proven experience modeling tables using ERwin, including normalization and dimensional modeling techniques


* Strong hands-on experience with Databricks as a data engineering platform, including building and optimizing ETL/ELT pipelines (performance tuning, partitioning, file sizing, and incremental loads)


* Strong proficiency in SQL, including advanced techniques such as joins, analytics and window ...