JPMorgan Chase
Data Engineering Associate
OH · Full-time · Posted Sep 25, 2026
- Experience
- 3+ years applied experience; no alternative stated.
- Education
- Formal training or certification on software engineering concepts.
About the job
Designs, develops, and supports scalable software and data engineering solutions, including Databricks pipelines, across the software development lifecycle.
What you'll do
- Design, develop, test, and deploy scalable software solutions and data pipelines.
- Troubleshoot technical issues, perform root cause analysis, and support CI/CD and engineering standards.
- Collaborate with cross-functional teams and use authorized AI development tools, validating outputs for correctness, performance, and security.
What they ask for
- Formal training or certification in software engineering concepts and 3+ years of applied experience.
- Data modeling expertise, including ERwin, normalization, and dimensional modeling; hands-on Databricks ETL/ELT pipeline experience.
- Strong SQL and Oracle skills, including PL/SQL development, schema design, and performance tuning.
- Experience with JSON and semi-structured data, Databricks Genie Spaces and ThoughtSpot integration, Git workflows, and enterprise-authorized AI-assisted development tools.
Nice to have
- Unity Catalog administration or enablement; agile or scrum delivery experience.
- Exposure to Docker or Kubernetes, CI/CD and DevOps practices, or financial services and regulated environments.
Tools
ERwin, Databricks, SQL, Oracle, PL/SQL, Bitbucket, GitHub, IntelliJ IDEA
AI focus
Uses enterprise-authorized AI tools for coding, refactoring, test creation, troubleshooting, and documentation; evaluates outputs for correctness, performance, and security, and follows responsible-use practices.
Model-written summary · the original posting is authoritative