Lead Data Engineer: Python, AWS & Big Data

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in Wilmington, DE is seeking a Lead Software Engineer—Python, AWS, Big Data to design and deliver secure, scalable data pipelines and analytics solutions. You will guide an agile team, develop production-grade data processing, and push for responsible AI-driven engineering practices.

The role emphasizes end-to-end data pipeline development, cloud services (AWS), and implementing resilient architectures across diverse domains in Corporate Technology.

Qualifications

• Formal training or certification on Software Engineering concepts and 5+ years applied experience.
• Experience on Bigdata, Data platforms and Data Engineering concepts.
• Hands-on design, development, testing, and operational stability.
• End to end understanding and hands on experience with Developing Data Pipeline Processes.
• Programming experience in Python, FAST API, Spark.
• Technically competent in various AWS Services - Lambda, Glue, Step Function, ECS, AWS Infrastructure provisioning through Terraform.
• Demonstrated experience leading the effective use of approved AI-assisted software development tools, with a strong understanding of responsible AI use in engineering workflows.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Training in Generative AI solutions like NLP & LLM Models.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations.

Responsibilities

• Builds data processing pipeline and deploys applications in production
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to automate remediation of recurring issues to improve operational stability of software applications and systems
• Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and outcomes
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities

Skills

Python

AWS

Big Data

Data Pipelines

Spark

Terraform

AI tooling

Team leadership

Secure coding

ML/Generative AI

Tools

Git

CI/CD

Job description

JPMorgan Chase in Wilmington, DE is seeking a Lead Software Engineer—Python, AWS, Big Data to design and deliver secure, scalable data pipelines and analytics solutions. You will guide an agile team, develop production-grade data processing, and push for responsible AI-driven engineering practices.

The role emphasizes end-to-end data pipeline development, cloud services (AWS), and implementing resilient architectures across diverse domains in Corporate Technology.