Python & AI Backend Engineer (Databricks/PySpark)

JPMorganChase; Wilmington (DE); Hybrid; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase is seeking a software engineer to advance your career by delivering secure production code, focusing on Python backend development and PySpark data processing in a large enterprise environment.

You will build and support scalable data engineering modules on Databricks, leverage enterprise AI-assisted development tools, and collaborate with cross-functional teams to translate finance business requirements into robust technical solutions.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience in system design, development, testing, and stability.
• Experience coding in a modern programming language and querying databases.
• Proficiency in Python backend development with PySpark pipelines.
• Experience with Databricks including deployment and support.
• Experience using enterprise AI-assisted development tools with validation and security focus.
• Understanding of responsible AI use and secure handling of data.
• Solid understanding of Snowflake, Databricks, SQL, and DB2 or NOSQL databases.

Responsibilities

• Execute software solutions and tackle complex technical problems.
• Develop, debug, and maintain Python backend and PySpark pipelines in production.
• Build, deploy, and support scalable data modules on Databricks.
• Leverage AI coding tools and ensure quality via peer reviews, tests, and secure coding.
• Utilize SDLC tooling to improve automation and value.
• Produce architecture and design artifacts for complex applications.
• Gather and visualize data from large financial datasets for continuous improvement.
• Identify hidden data patterns to improve coding hygiene and architecture.
• Participate in code reviews to elevate team engineering standards.
• Collaborate with product managers and engineers to translate business requirements into solutions.

Skills

Python

PySpark

Databricks

AI-assisted tools

Software design

Code reviews

SQL/NoSQL

Cloud AWS

Data pipelines

Security best practices

Education

Software engineering training

Tools

Databricks

Snowflake

SQL

DB2

Job description

JPMorgan Chase is seeking a software engineer to advance your career by delivering secure production code, focusing on Python backend development and PySpark data processing in a large enterprise environment.

You will build and support scalable data engineering modules on Databricks, leverage enterprise AI-assisted development tools, and collaborate with cross-functional teams to translate finance business requirements into robust technical solutions.