Data Python Software Engineer III

JPMorganChase; Chicago (IL); Presencial; USD 114 000 - 155 000; Tempo integral

Resumo da oferta

JPMorganChase is seeking a Data Python Software Engineer III to design and deliver trusted data pipelines and analytics within the Global Banking Technology team.

You will work on secure, scalable data architectures, using Python for data processing and collaborating with agile teams to meet business objectives across Chicago and Plano locations.

This role requires strong SQL/NoSQL experience and familiarity with AI-assisted tooling to enhance SDLC quality and data governance.

Qualificações

• 3+ years of hands-on data engineering experience with Python and data analytics.
• Strong Python coding skills and ability to build data pipelines and data models.
• Experience validating AI-assisted outputs and working with enterprise data security requirements.

Responsabilidades

• Supports review of controls to ensure protection of enterprise data.
• Uses AI capabilities to accelerate data pipeline analysis and documentation, ensuring data sensitivity compliance.
• Makes configuration changes to deliver data products on business requests and advises teammates.

Conhecimentos

Python

SQL

NoSQL

Data analytics

Data pipelines

AI capabilities

Cloud computing

Ferramentas

AWS

Descrição da oferta de emprego

Data Python Software Engineer III

Chicago, IL, United States and 1 more

Job Information

• Job Identification: 210796116
• Job Category: Software Engineering
• Business Unit: Commercial & Investment Bank
• Posting Date: 10/28/2026, 02:45 PM
• Locations: 131 S Dearborn St, Chicago, IL, 60603, US; 8181 Communications Pkwy Bldg B, Plano, TX, 75024, US
• Job Schedule: Full time
• Base Pay/Salary: Chicago,IL $114,000.00-$155,000.00; Plano,TX $114,000.00-$155,000.00

Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Python Software Engineer III at JPMorganChase within the Commercial & Investment Bank Global Banking Technology team, you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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.

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 3+ years applied experience and hands on coding with Python, along with data analytics experience.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
• Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
• Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis.
• Experience customizing changes in tools to generate product outputs and involved with working with Product Owner to analyze and interpret data.

Preferred qualifications, capabilities, and skills

• Hands on experience with AWS
• Familiarity with modern front-end technologies