Senior Lead Data & Cloud Engineer (Databricks/PySpark/AWS)
JPMorganChase
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Job summary
JPMorganChase in Jersey City seeks an experienced software engineer to build scalable, production-grade data and cloud solutions for regulatory model applications. You will work hands-on with PySpark/Python on Databricks and AWS, partnering with cross-functional teams to design, implement, and support reliable systems.
AI agent development experience is a plus. The role emphasizes delivering robust data processing pipelines, secure cloud architectures, documentation, and collaboration across
Qualifications
- 5+ years of software engineering experience.
- Proficiency with PySpark, Python, Databricks, and AWS.
- Experience building production-grade systems with reliability.
- Strong communication in dynamic environments.
Responsibilities
- Design, develop, and deploy regulatory model applications and cloud modernization solutions.
- Build scalable data processing with PySpark/Python and Databricks.
- Implement secure, AWS-based architectures and integration patterns.
- Write code, tests, and documentation; participate in reviews.
- Communicate architecture and delivery plans via technical docs and decks.
- Partner with product, data, model, and platform teams to meet deadlines.
Skills
Education
Tools
Job description
JPMorganChase in Jersey City seeks an experienced software engineer to build scalable, production-grade data and cloud solutions for regulatory model applications. You will work hands-on with PySpark/Python on Databricks and AWS, partnering with cross-functional teams to design, implement, and support reliable systems.
AI agent development experience is a plus. The role emphasizes delivering robust data processing pipelines, secure cloud architectures, documentation, and collaboration across
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