Lead Software Engineer - Data Engineer [AWS, SQL, Python/Java]

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

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong experience in Data Engineering, Python, SQL, AWS Tech Stack
• Strong hands-on Python/Java development experience, with the ability to design, build, and support production-grade applications and data pipelines.
• Strong SQL skills and experience working with data processing and data engineering workloads.
• Hands-on experience with AWS cloud services and building cloud-native solutions.
• Strong experience with Databricks, including development and processing of large datasets.
• Solid software engineering fundamentals, with experience delivering and supporting solutions in a production environment.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)
• Advanced understanding of agile delivery, application resiliency, and secure engineering practices