Lead Data Engineer | AWS, Python, SQL, Databricks

Houston; Houston (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase in Houston, TX, is seeking a Lead Software Engineer within Corporate Technology. You will be a core technical contributor responsible for shaping architectures, delivering secure, scalable software, and advancing trusted market-leading technology products.

You will lead production-grade data pipelines, mentor engineers, and drive adoption of AI-assisted development practices across teams while ensuring compliance with security and resiliency standards.

Qualifications

• 5+ years of software engineering experience.
• Strong experience in Data Engineering, Python, SQL, AWS Tech Stack.
• Hands-on Python/Java development for production-grade apps and data pipelines.
• Strong SQL skills and experience with data processing workloads.
• Hands-on experience with AWS cloud services and building cloud-native solutions.
• Strong experience with Databricks and processing large datasets.
• Solid fundamentals delivering production software and data solutions.
• Experience leading AI-assisted software development tool adoption with correct validation.

Responsibilities

• Executes creative software solutions and troubleshoots complex problems.
• Develops secure, high-quality production code and reviews peers' code.
• Drives enterprise AI-assisted development practices to improve quality and speed.
• Applies SDLC tools to improve automation and value from automation.
• Identifies opportunities to automate remediation for better stability.
• Leads architecture-evaluation sessions with vendors and internal teams.

Skills

Data Engineering

Python

SQL

Java

AI-assisted development

Tools

AWS

Databricks

Job description

JPMorganChase in Houston, TX, is seeking a Lead Software Engineer within Corporate Technology. You will be a core technical contributor responsible for shaping architectures, delivering secure, scalable software, and advancing trusted market-leading technology products.

You will lead production-grade data pipelines, mentor engineers, and drive adoption of AI-assisted development practices across teams while ensuring compliance with security and resiliency standards.