Lead Data Engineer: Snowflake, Python, AWS, CI/CD

Aumni; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Data Engineer to join the GT COO Data team, owning data pipelines, Snowflake models, GAP apps, and SEAL compliance across a Python CI/CD workflow.

You will build and maintain Python-based ETL pipelines sourcing from cloud platforms, design SQL views for executive dashboards, and empower front-end interfaces via Python web frameworks while ensuring platform health and governance.

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.
• Strong communicator capable of translating business requirements into scalable data products.

Responsibilities

• Build and maintain Python-based ETL pipelines and data transformations from cloud data sources.
• Own the deployment and release pipeline for cloud-hosted applications including CI/CD onboarding.
• Design and maintain SQL views and data models powering dashboards and reports.
• Develop lightweight HTML/JavaScript front-ends through Python web frameworks.
• Act as Application Owner ensuring compliance posture and platform health, migrate workflows from legacy tools.

Skills

Python

Cloud platforms

SQL

CI/CD

Frontend with Python

Tools

Cloud Foundry

Snowflake

Job description

JPMorgan Chase is seeking a Lead Data Engineer to join the GT COO Data team, owning data pipelines, Snowflake models, GAP apps, and SEAL compliance across a Python CI/CD workflow.

You will build and maintain Python-based ETL pipelines sourcing from cloud platforms, design SQL views for executive dashboards, and empower front-end interfaces via Python web frameworks while ensuring platform health and governance.