Lead Data Engineer: Cloud ETL, Python & Data Platforms

J.P. Morgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase in Wilmington, DE is seeking a Lead Data Engineer to join an agile team focused on building scalable data collection, storage, and analytics solutions.

You will own Python ETL pipelines, cloud deployments, SQL data models, and front-end interfaces powered by Python web frameworks, while ensuring compliance and platform health.

This role requires strong communication with senior stakeholders and a track record delivering end-to-end data products at scale.

Qualifications

• Hands-on Python data engineering experience at scale.
• Experience deploying applications on Cloud Foundry or equivalent PaaS platforms.
• Proficiency in SQL and cloud data warehouse platforms.
• Experience with enterprise CI/CD tooling and application governance.
• Comfort building front-end interfaces through Python web frameworks.
• Strong communicator with senior stakeholders.

Responsibilities

• Build and maintain Python-based ETL pipelines and data transformations sourcing from cloud data platforms.
• Own deployment and release pipeline for cloud-hosted web applications including CI/CD onboarding and repository management.
• Design and maintain SQL views and data models powering dashboards and reporting.
• Build lightweight HTML/JavaScript front-ends served through Python web frameworks.
• Serve as Application Owner responsible for compliance posture and platform health.
• Drive migration of reporting workflows off legacy tools toward scripted, version-controlled equivalents.

Skills

Python

ETL pipelines

Data transformations

SQL

Cloud platforms

CI/CD

Python web frameworks

Tools

Cloud Foundry

CI/CD tooling

Python web frameworks

Job description

JPMorgan Chase in Wilmington, DE is seeking a Lead Data Engineer to join an agile team focused on building scalable data collection, storage, and analytics solutions.

You will own Python ETL pipelines, cloud deployments, SQL data models, and front-end interfaces powered by Python web frameworks, while ensuring compliance and platform health.

This role requires strong communication with senior stakeholders and a track record delivering end-to-end data products at scale.