Lead Data Engineer

JP Morgan Chase; Wilmington (DE); On-site; USD 147,000 - 190,000; Full time

Job summary

JPMorgan Chase Corporate Functions in Wilmington, DE, is seeking a data engineering professional to build and maintain secure, scalable data pipelines and analytics platforms. This onsite role supports finance, risk, HR, and marketing programs with modern data solutions.

The role emphasizes Python-based ETL, cloud data platforms, SQL modeling, and front-end interfaces via Python web frameworks. You will own deployment pipelines and ensure governance, compliance, and reliable reporting for

Qualifications

• Hands-on Python data engineering experience at scale.
• Experience deploying applications on Cloud Foundry or an equivalent PaaS platform.
• 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 communication skills and comfort working with senior stakeholders to translate business requirements into scalable data products.

Responsibilities

• Maintain critical data pipelines, data models, and application infrastructure across multiple programs aligned to firm business objectives.
• 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 repository management.
• Design and maintain SQL views and data models that power executive-facing dashboards and LOB reporting.
• Develop lightweight front-end interfaces using HTML/JavaScript served through Python web frameworks.
• Serve as Application Owner, accountable for compliance posture and platform health.
• Drive migration of reporting workflows from legacy tools to scripted, version-controlled equivalents.

Skills

Python data engineering

Cloud Foundry

SQL & cloud DWH

CI/CD tooling

Python web front-end

Stakeholder communication

Job description

Join a team within JPMorgan Chase’s Corporate Functions where your work supports business-critical analytics and reporting needs across finance, risk, human resources, and marketing. This onsite role in Wilmington, DE focuses on enhancing, building, and delivering secure, stable, and scalable data collection, storage, access, and analytics solutions, with responsibility spanning multiple programs and platforms.

Compensation: USD 147,250 - 190,000 per year.

What you will do

• Maintain critical data pipelines, data models, and application infrastructure across multiple programs aligned to firm business objectives.
• 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 repository management.
• Design and maintain SQL views and data models that power executive-facing dashboards and LOB reporting.
• Develop lightweight front-end interfaces using HTML/JavaScript served through Python web frameworks.
• Serve as Application Owner, accountable for compliance posture and platform health.
• Drive migration of reporting workflows from legacy tools to scripted, version-controlled equivalents.

What you bring

• Hands-on Python data engineering experience at scale.
• Experience deploying applications on Cloud Foundry or an equivalent PaaS platform.
• 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 communication skills and comfort working with senior stakeholders to translate business requirements into scalable data products.

Team and culture

Our professionals in Corporate Functions cover a diverse range of areas including finance and risk, human resources, and marketing. Corporate teams play an essential role in supporting the success of our businesses, clients, customers, and employees.

Technology focus: Python, ETL, SQL, Cloud Foundry, cloud data warehouse platforms, CI/CD, HTML, JavaScript, Python web frameworks.