Senior Data Python Engineer — AI-Driven Pipelines

JP Morgan Chase; Chicago (IL); On-site; USD 110,000 - 140,000; Full time

Job summary

JPMorganChase is seeking a Data Python Software Engineer III within the Commercial & Investment Bank Global Banking Technology team to design and deliver trusted data pipelines and analytics solutions in a secure, scalable way.

You will join an agile team to develop, test, and maintain data platforms across multiple business functions, applying AI-assisted practices and SQL/NoSQL skills to support enterprise data needs.

Qualifications

• Formal training or certification on data engineering concepts and 3+ years applied experience and hands on coding with Python, along with data analytics experience.
• Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases.
• Experience customizing changes in tools to generate product outputs and collaborating with Product Owner to analyze data.

Responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Skills

Python coding

SQL

NoSQL

Data analytics

AI capabilities

Data modeling

Education

Data engineering certification

Tools

AWS

Job description

JPMorganChase is seeking a Data Python Software Engineer III within the Commercial & Investment Bank Global Banking Technology team to design and deliver trusted data pipelines and analytics solutions in a secure, scalable way.

You will join an agile team to develop, test, and maintain data platforms across multiple business functions, applying AI-assisted practices and SQL/NoSQL skills to support enterprise data needs.