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# Data Engineer

- **Company:** CyberX Info System
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Data Architecture, Data Discovery, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Identity and Access Management, Meta-Data Management, Cloud Services, Data Mesh, Zero Trust Network Access, Data Ingestion, Data Lakes, AWS Lake Formation, AWS Glue, AWS Data Analytics, Data Pipelines, OpenSearch, Amazon Elastic Mapreduce (EMR)
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/2_171588343

## About the Role

* 5+ years of hands-on Data Engineering experience.
 * Strong experience with AWS cloud services and data lake architecture.
 * Hands-on expertise with Amazon S3, AWS Glue, and AWS Lake Formation.
 * Experience building ETL/ELT pipelines, metadata catalogs, and data ingestion frameworks.
 * Strong understanding of data governance, data security, and access management.
 * Active TS/SCI security clearance with eligibility for SCI read-on and additional program-specific access approvals.
 * U.S. Citizenship is mandatory.
 * Must be located within commuting distance of one of the approved work locations.
 * Ability to work on-site in a secure government facility., * Experience with Data Mesh or Zero Trust Data Architecture.
 * Knowledge of Amazon Athena, OpenSearch, and Amazon EMR.
 * Experience with enterprise metadata management platforms.
 * AWS Professional/Specialty certifications. xrbllit
 * Security+ or CISSP certification.

## Description

We are looking for an experienced AWS MDM / Big Data Engineer to join a highly skilled cloud engineering team working on a mission-critical, security-sensitive government initiative.

In this role, you will design, build, and enhance scalable AWS-based data lake architectures, enabling secure data ingestion, discovery, governance, and analytics across complex enterprise environments., * Design, develop, and maintain AWS data lake solutions using Amazon S3, AWS Glue, and Lake Formation.

 * Build and manage metadata catalogs, data discovery frameworks, and schema ingestion processes.
 * Develop and optimize ETL/ELT pipelines for large-scale data ingestion and transformation.
 * Implement data governance, tagging, and fine-grained access controls.
 * Apply attribute-based access control (ABAC) and secure data-sharing practices.
 * Optimize data lake architecture and performance for analytics workloads.
 * Collaborate with cloud architects, security teams, and engineering stakeholders.