Lead Data Engineer: Snowflake, Python & AWS Pipelines

JPMorganChase; Fairfax (DE); Hybrid; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase seeks a Lead Data Engineer to join an agile team that builds, scales, and secures data collection, storage, access, and analytics solutions across programs.

You will own Python-based ETL pipelines, deploy cloud-hosted apps with CI/CD, design SQL views and data models for dashboards, and develop lightweight HTML/JavaScript front-ends through Python frameworks. You’ll drive modernization by migrating reporting workflows from legacy tools to scripted, version-controlled processes.

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 to translate requirements into scalable data products.

Responsibilities

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

Skills

Python

SQL

Cloud Foundry

CI/CD tooling

Front-end interfaces

Data pipelines

Tools

CI/CD tooling

Python web frameworks (Flask/Django)

Job description

JPMorgan Chase seeks a Lead Data Engineer to join an agile team that builds, scales, and secures data collection, storage, access, and analytics solutions across programs.

You will own Python-based ETL pipelines, deploy cloud-hosted apps with CI/CD, design SQL views and data models for dashboards, and develop lightweight HTML/JavaScript front-ends through Python frameworks. You’ll drive modernization by migrating reporting workflows from legacy tools to scripted, version-controlled processes.