AWS Data Engineer

CGI•Lafayette, LA

1d•Onsite

About The Position

CGI is seeking a AWS Data Engineer to join a fast paced team supporting large scale data processing and analytics initiatives within the mortgage finance industry. This is a great opportunity for a hands on engineer who thrives in an agile environment, enjoys solving tough data problems, and wants exposure to mortgage loan data ecosystems at scale. This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, Birmingham, AL

Requirements

5+ years of hands on experience with Python (3.9+), Java, and JavaScript
Solid SQL skills, including query optimization and troubleshooting
Practical experience across AWS big data tools — EMR, Redshift, Glue, Step Functions, Lambda, Spectrum, S3, and CloudWatch
Comfortable writing shell scripts (Bash preferred) in Linux/Unix environments
Sharp problem solving instincts — able to break down complex issues and find practical, logical fixes
Background working in Agile/Scrum teams, with day to day use of JIRA
Experience building or supporting automation within data workflows
Familiarity with CI/CD tooling and practices (Jenkins, GitLab) — version control, testing, build, and deployment
Curiosity to learn mortgage loan data structures and how they flow through the business
Ability to adapt quickly when priorities or requirements shift, without missing deadlines

Nice To Haves

Experience using GenAI tools like GitHub Copilot to speed up coding and testing

Responsibilities

Build, maintain, and optimize data pipelines using AWS big data services, working closely with cross functional teams to deliver reliable, scalable solutions.
Take ownership of debugging complex issues.
Document technical processes.
Contribute to a culture of continuous improvement through automation and CI/CD best practices.