Lead Data Engineer - AWS/Python/SQL | AI-Driven Cloud

JPMorgan Chase & Co.; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in Houston, TX, seeks a Lead Software Engineer to join Corporate Technology. You will be a core technical contributor, delivering secure, scalable market-leading technology products and driving AI-assisted engineering practices across the team.

The role emphasizes building production-grade data pipelines, leading architectural evaluations, and partnering with vendors to advance enterprise capabilities in a secure environment.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Strong experience in Data Engineering, Python, SQL, and AWS tech stack.
• Hands-on Python/Java development for production-grade applications and data pipelines.
• Experience with AWS cloud services and Databricks for large datasets.
• Experience leading adoption of AI-assisted software development tools.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with the ability to think beyond routine approaches.
• Develops secure, high-quality production code and reviews and debugs code written by others.
• Drives team adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools and AI-assisted development capabilities to improve automation and value.
• Identifies opportunities to automate remediation to improve stability of software applications and systems.
• Leads evaluation sessions with external vendors, startups, and internal teams on architectural designs and applicability.

Skills

Data Engineering

Python

SQL

AWS Tech Stack

Java

Databricks

AI-assisted engineering

Job description

JPMorgan Chase & Co. in Houston, TX, seeks a Lead Software Engineer to join Corporate Technology. You will be a core technical contributor, delivering secure, scalable market-leading technology products and driving AI-assisted engineering practices across the team.

The role emphasizes building production-grade data pipelines, leading architectural evaluations, and partnering with vendors to advance enterprise capabilities in a secure environment.