JPMorgan Chase
Software Engineer lll - Senior Databricks/Spark/AWS Data Engineer
OH · Senior · Full-time · Posted Sep 25, 2026
- Experience
- 3+ years of applied data engineering experience.
- Education
- Formal training or certification in software engineering concepts.
About the job
Builds and operates Databricks-on-AWS data pipelines and lakehouse frameworks for workforce analytics, while improving data quality, performance, and reliability.
What you'll do
- Design, build, tune, and maintain PySpark pipelines and scalable Databricks lakehouse frameworks.
- Implement data quality checks, monitoring, alerting, and automation to improve pipeline reliability and operational stability.
- Deliver curated datasets for BI partners and collaborate with stakeholders on requirements and solution design.
What they ask for
- Formal training or certification in software engineering concepts and 3+ years of applied data engineering experience.
- Advanced hands-on Apache Spark (PySpark) and Databricks experience, including Delta Lake and lakehouse patterns.
- Strong AWS data ecosystem expertise, including S3, EMR, Glue, Lambda, and Athena; strong Python skills.
- Experience with CI/CD, system design, testing, operational stability, SQL, and data modeling; in-depth financial services industry knowledge.
Nice to have
- Databricks data engineering certification.
- Familiarity with Generative AI and Agentic AI frameworks and AI coding assistants such as Claude and GitHub Copilot.
Tools
Databricks, Apache Spark (PySpark), Delta Lake, AWS, S3, EMR, Glue, Python
AI focus
Use AI and Agentic AI solutions to accelerate pipeline development; adopt AI-assisted engineering tools to improve productivity and code quality.
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