Data Engineer

CyberX Info System; Washington (District of Columbia); On-site; USD 140,000 - 180,000; Full time

Job summary

CyberX Info System in the United States is seeking an experienced AWS MDM / Big Data Engineer to join a government-focused cloud engineering team. You will design, build, and maintain scalable AWS-based data lake architectures for secure data ingestion, discovery, governance, and analytics in mission-critical environments.

The role requires 5+ years of data engineering, strong AWS S3/Glue/Lake Formation skills, ABAC and access controls, and an active TS/SCI clearance with US citizenship.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

AWS data lake design

Security clearance

On-site work

Communication

Education

Bachelor's degree in a relevant field

Tools

Amazon S3

AWS Glue

AWS Lake Formation

ETL/ELT tooling

Job description

Location: Herndon, VA | Washington, DC | Seattle, WA | Denver, CO

Work Model: Full-Time | On-Site

Experience: 5+ Years

Security Clearance: Active TS/SCI Required

About the Role

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.