Lead Cloud Data Engineer for AWS & ETL Modernization

JPMorganChase; Columbus (OH); On-site; USD 140,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology to drive end-to-end delivery of modern data solutions and platform modernization across private cloud and AWS. You will mentor engineers and promote AI-assisted practices to enhance code quality, delivery speed, and reliability.

The role requires 5+ years of experience in software engineering, strong skills in Python or Java, and hands-on AWS, containerization, and ETL development.

Qualifications

• 5+ years of hands-on software engineering experience.
• Experience with system design, development, testing, and operations in a large-scale environment.
• Proficiency in Python or Java and production code maintenance.
• Experience building data processing solutions, including ETL development and data pipeline lifecycle management.
• Hands-on experience with AWS services and cloud delivery practices including IaC (Terraform) and services like S3/EC2/EMR.
• Experience with Docker and Kubernetes.
• Strong understanding of Agile delivery practices and the SDLC.
• Experience using approved AI-assisted software development tools with the ability to validate AI outputs for correctness, performance, and security.

Responsibilities

• Lead design and delivery of data processing solutions, translating complex requirements into secure, scalable, and maintainable software.
• Drive architecture and design decisions across application, data, and infrastructure layers to improve platform performance, reliability, and extensibility.
• Modernize existing workloads and pipelines, accelerating adoption of cloud-native patterns and services across private cloud and AWS.
• Build and enhance ETL and event-driven data processing capabilities, improving throughput, data quality, and observability.
• Partner with product, data, and engineering stakeholders to align on outcomes, delivery plans, and measurable success criteria.
• Improve engineering excellence through code quality, automated testing, peer reviews, documentation, and operational readiness practices.
• Mentor engineers and contribute to a collaborative culture focused on learning, experimentation, and continuous improvement.
• Drive team adoption of enterprise-authored AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, with validation standards and promotion of reuse.

Skills

Python

Java

AWS

Docker

Kubernetes

ETL development

Data processing

CI/CD

Agile

AI-assisted tooling

Secure coding

Spark

Education

Bachelor's degree in CS/Engineering

Software engineering certification

Tools

Terraform

Spark

Job description

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology to drive end-to-end delivery of modern data solutions and platform modernization across private cloud and AWS. You will mentor engineers and promote AI-assisted practices to enhance code quality, delivery speed, and reliability.

The role requires 5+ years of experience in software engineering, strong skills in Python or Java, and hands-on AWS, containerization, and ETL development.