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# AWS Cloud ETL Engineer - Cleared

- **Company:** RightDirection Technology Solutions
- **Location:** Washington, DC, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, DevOps, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Operational Databases, Standard Sql, AWS Cdk, Data Logging, Data Storage Technologies, Containerization, Pyspark, AWS Glue, AWS Data Analytics, Data Pipelines
- **Published:** June 10, 2026
- **Apply:** https://careerlink.com/job/job_synd/3120295405--aws-cloud-etl-engineer-cleared/

## About the Role

* 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

## Description

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., * 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


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