RDTS is seeking an experienced AWS ETL Engineer to design, build, and maintain scalable data pipelines in a cloud-native environment. The ideal candidate will have strong hands-on experience with AWS data services, data modeling, and modern ETL/ELT frameworks. This role works closely with data engineers, analysts, and business stakeholders to deliver reliable, high-quality data solutions.

The position is 100% onsite and full-time, Monday-Friday with standard office hours.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and EMR
• Build and manage data workflows orchestrated with tools like AWS Step Functions, or similar
• Implement data transformations using Python, PySpark, or SQL
• Design and optimize data storage solutions in Amazon S3, Redshift, RDS, or DynamoDB
• Ensure data quality, integrity, and governance through validation, monitoring, and logging
• Optimize performance and cost-efficiency of AWS data workloads
• Collaborate with DevOps teams to implement CI/CD pipelines and infrastructure as code (AWS CDK Python)
• Maintain documentation and enforce best practices for data architecture and security
• Troubleshoot and resolve production data issues

• Must possess an active Security Clearance
• Experience in data engineering or ETL development
• Strong hands-on experience with AWS services (Glue, S3, Lambda, EMR, IAM)
• Proficiency in Python and SQL
• Familiarity with CI/CD pipelines and Infrastructure as Code
• Knowledge of data security, encryption, and IAM best practices

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.