Federal Data Engineer & Developer (DoD Clearance)

GCyber; Arlington (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

26 days paid leave

Annual PTO increase

Parental leave

Military/jury/bereavement leave

401(k) matching

Health, dental, vision insurance

Professional development

Commuter benefits

Parking allowance

Job summary

GCyber seeks a Data Developer / Data Engineer to establish an integrated, trusted data foundation for a federal mission environment. You will merge data from multiple sources, improve quality, and create reusable data products for apps, dashboards, analytics, and decision support.

Ideal candidates bring data engineering, analytics engineering, data architecture, or BI backgrounds with modern data stack experience. DoD clearance and US citizenship are required for this role.

Qualifications

• Active DoD Top Secret/SCI clearance required.
• US citizenship required.
• 3+ years in data engineering or related fields.
• Hands-on SQL experience with at least one database or data platform.

Responsibilities

• Design, develop, test, deploy, and maintain data models, pipelines, and services.
• Ingest data from databases, files, APIs, and source systems.
• Implement data validation, cleansing, mapping, lineage, and quality controls.
• Develop SQL and ETL/ELT processes to support apps, reporting, and analytics.
• Collaborate with stakeholders, architects, analysts, developers, and security teams.
• Document source-to-target mappings, logic, and operational procedures.
• Support deployment, monitoring, incident analysis, and continuous improvement.

Skills

SQL

Python

ETL/ELT

Data modeling

Spark

Azure Data Factory

Dataverse

Power BI

Education

DoD 8140/8570 baseline certification

DoD Top Secret/SCI clearance

U.S. citizenship

Tools

SQL Server

Microsoft Fabric

REST APIs

Python

Spark

Azure

Job description

GCyber seeks a Data Developer / Data Engineer to establish an integrated, trusted data foundation for a federal mission environment. You will merge data from multiple sources, improve quality, and create reusable data products for apps, dashboards, analytics, and decision support.

Ideal candidates bring data engineering, analytics engineering, data architecture, or BI backgrounds with modern data stack experience. DoD clearance and US citizenship are required for this role.