Software Engineer III - Data & Python

JPMorgan Chase & Co. • Chicago, IL

1d • $114,000 - $155,000

About The Position

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 designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will develop, test, and maintain critical data pipelines and architectures across multiple technical areas and business functions in support of the firm’s business objectives.

The role includes supporting enterprise data controls, making configuration and customization changes in response to business or customer requests, and updating logical or physical data models for new use cases. It involves frequent use of SQL and a working understanding of NoSQL databases. You will also apply reuse-first, AI-assisted practices to strengthen SDLC quality for data pipelines, while validating AI outputs and observing data-sensitivity, security, traceability, auditability, resiliency, and security expectations.

Requirements

• Formal training or certification in data engineering concepts and at least 3 years of applied experience and hands-on coding with Python, along with data analytics experience.
• Demonstrated experience using enterprise-authorized AI capabilities for data engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs, such as query suggestions, test ideas, or model change summaries, before use; escalate when uncertain and follow data-handling requirements.
• Advanced SQL skills, including joins and aggregations, and a working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
• Experience customizing changes in tools to generate product outputs and working with a Product Owner to analyze and interpret data.

Nice To Haves

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

Responsibilities

• Support review of controls to ensure sufficient protection of enterprise data.
• Use enterprise-authorized AI capabilities to accelerate data pipeline and design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Make configuration and customization changes to generate products in response to business or customer requests, and advise colleagues on requests.
• Update logical or physical data models based on new use cases.
• Frequently use SQL and apply an understanding of NoSQL databases and their role in the marketplace.
• Apply reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines, such as test generation and control validation, ensuring traceability, auditability, and alignment with resiliency and security expectations.
• Develop, test, and maintain data pipelines and architectures.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed