Data Engineering Associate

Software Engineer III

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 functions, and query optimization

Strong Oracle experience, including DDL/DML and schema design best practices, PL/SQL development (procedures, functions, and packages), and Oracle performance tuning (execution plans, indexes, partitioning, and statistics)

Experience handling JSON and semi-structured data, including parsing, flattening, and schema evolution considerations

Experience working with Databricks Genie Spaces and ThoughtSpot integration to Databricks

Proficiency with Git-based workflows using Bitbucket and/or GitHub, with comfort working in IntelliJ IDEA or similar integrated development environments

Strong problem-solving and debugging skills across ingestion, transformation, and serving layers

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

Experience enabling or administering Unity Catalog, including catalog and schema design, permissions management, and lineage and metadata patterns

Experience working in an agile or scrum delivery environment

Exposure to containerization and orchestration technologies such as Docker or Kubernetes

Familiarity with CI/CD tooling and DevOps practices

Knowledge of financial services technology or regulated industry environments