Senior Python Engineer | Databricks, AWS, AI Tools

JPMorgan Chase & Co.

Wilmington (DE)

On-site

USD 110,000 - 170,000

Full time

5 days ago
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Job summary

JPMorgan Chase & Co. in the Corporate Technology team is seeking a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way.

You will work in an agile team, contributing to critical solutions across multiple business functions to support the firm’s objectives. The role emphasizes hands-on development with Python, Databricks, and AWS, plus tooling for secure, reliable code and data-driven improvements.

Qualifications

  • 3+ years of software engineering experience.
  • Strong Python, Databricks and AWS experience.
  • Experience building and maintaining data pipelines.
  • Familiar with modern programming languages and database querying.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting with non-routine problem solving.
  • Creates secure, high-quality production code and maintains algorithms.
  • Uses enterprise AI coding assist tools to improve code quality, speed, and productivity with peer review.
  • Applies SDLC tools including AI-assisted development to improve automation and value.
  • Produces architecture and design artifacts for complex applications and ensures design constraints are met.
  • Gathers and visualizes data from large datasets to improve software applications.
  • Identifies hidden data patterns to drive improvements in coding hygiene and system architecture.

Skills

Python
Databricks
AWS
Data pipelines
Software design
CI/CD
Agile
Secure coding
AI-assisted tools

Job description

JPMorgan Chase & Co. in the Corporate Technology team is seeking a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way.

You will work in an agile team, contributing to critical solutions across multiple business functions to support the firm’s objectives. The role emphasizes hands-on development with Python, Databricks, and AWS, plus tooling for secure, reliable code and data-driven improvements.

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