Senior AWS Data Engineer
Full-time
Hybrid – Lafayette, LA | Knoxville, TN | Birmingham, AL | Columbia, SC
Position Overview
Seeking a Senior AWS Data Engineer to develop, enhance, and maintain enterprise risk analytics applications in a financial services environment.
The primary focus is building cloud-based data pipelines and analytics solutions using AWS, Amazon Redshift, AWS Glue, Python, and SQL.
Key Responsibilities

Develop and enhance AWS-based data pipelines.
Build ETL/data processing solutions using AWS Glue.
Develop Python-based data processing and automation solutions.
Work with Amazon Redshift and optimize data processing performance.
Develop complex SQL queries for large datasets.
Support CI/CD and automated deployments.
Troubleshoot data quality and performance issues.
Support enterprise analytics applications in production.
Work independently on complex requirements.
Apply GenAI and AI-driven automation to data engineering workflows where applicable.

Must-Have Skills

5+ years of AWS Data Engineering experience.
Strong Amazon Redshift experience.
Strong AWS Glue experience.
Strong Python development.
Advanced SQL.
ETL/Data Pipelines.
CI/CD and automated deployments.
Enterprise-scale data and analytics applications.
Data quality, troubleshooting, and performance optimization.
Production support experience.
Exposure to Generative AI / AI-enabled automation.

Nice-to-Have Skills

Financial services experience.
Enterprise Risk experience.
Risk Analytics experience.

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

The real hiring focus is AWS Data Engineering + Redshift + Glue + Python + Advanced SQL. Risk analytics experience is preferred.
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Ref: #404-IT Pittsburgh

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