Lead Data Engineer - AI Pipelines on AWS

JPMorganChase; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health and Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

JPMorganChase is seeking a seasoned software and data engineer to lead design, development, troubleshooting, and support of secure, high-quality software solutions and data pipelines across production systems.

The role emphasizes responsible AI-assisted engineering, automation to improve stability, and collaboration with internal teams and external vendors to evaluate technical designs.

Qualifications

• Formal training or certification in software engineering concepts.
• At least five years of applied experience in software engineering and data engineering.

Responsibilities

• Lead design, development, troubleshooting, and support of secure, high-quality software solutions and data pipelines across production systems.
• Promote responsible AI-assisted engineering practices and automate to improve operational stability.
• Evaluate technical designs and solutions with internal teams and external vendors.

Skills

Data Engineering

Python

Java

SQL

AWS

Databricks

Large-Scale Data Processing

Software Engineering

Production Application Development

Data Pipelines

AI-Assisted Software Development

Secure Coding

CI/CD

Automated Testing

Agile Delivery

Application Resiliency

Job description

JPMorganChase is seeking a seasoned software and data engineer to lead design, development, troubleshooting, and support of secure, high-quality software solutions and data pipelines across production systems.

The role emphasizes responsible AI-assisted engineering, automation to improve stability, and collaboration with internal teams and external vendors to evaluate technical designs.