Lead Data Engineer (AWS, Python, SQL) | AI-Driven Dev

JPMorgan Chase; Houston (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to contribute across diverse technical areas within Corporate Technology. You will build secure, scalable, production-grade software and data pipelines, embracing AI-assisted practices to improve code quality, delivery speed, and operational resilience.

The role requires 5+ years of software engineering experience, strong Python/Java skills, and expertise with AWS, Databricks, and data processing workloads.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong experience in data engineering, Python, SQL, AWS tech stack.
• Hands-on Python/Java development experience building production-grade applications and data pipelines.
• Strong SQL skills and experience with data processing workloads.
• Hands-on experience with AWS cloud services and cloud-native solutions.
• Experience leading AI-assisted software development tools and practices.
• Understanding of responsible AI use in engineering workflows.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and automation to improve value and reliability.
• Identifies opportunities to automate remediation and enhance stability.
• Leads evaluation sessions with vendors and teams on architecture.

Skills

Data Engineering

Python

Java

SQL

AWS Cloud

Tools

Databricks

AWS

Job description

JPMorganChase is seeking a Lead Software Engineer to contribute across diverse technical areas within Corporate Technology. You will build secure, scalable, production-grade software and data pipelines, embracing AI-assisted practices to improve code quality, delivery speed, and operational resilience.

The role requires 5+ years of software engineering experience, strong Python/Java skills, and expertise with AWS, Databricks, and data processing workloads.