DoD Data Engineer: Cloud Pipelines & ML Analytics

CSA Global LLC; Norfolk (VA); Sur place; USD 90 000 - 140 000; Plein temps

Résumé du poste

CSA Global LLC is seeking a Data Engineer to deliver secure and scalable data solutions for J35 GFM systems in the Norfolk, VA area. You will own enterprise ETL pipelines, analytics-ready data modeling, and ensure alignment with DoD cybersecurity and governance requirements.

You will collaborate with analysts and mission stakeholders to deploy data pipelines on AWS, Azure, and DoD Cloud, build APIs for secure data access, and optimize large-scale data processing systems in a compliance-heavy

Qualifications

• Active U.S. Secret security clearance.
• Bachelor's degree (or higher) in a related field with 3+ years of experience, or 4–9 years without a degree.
• Experience with DoD cybersecurity and governance requirements.

Responsabilités

• Provide operational analysis and support GFM/PLEX efforts.
• Analyze government data to support insights into GFM outcomes.
• Build statistical and ML models to automate key GFM/PLEX processes.
• Develop data integration, cleaning, and transformation across structured and unstructured sources.
• Design, build, and maintain enterprise data pipelines and APIs for secure data access.
• Deploy and manage data solutions on AWS, Azure, and DoD Cloud in compliance with standards.

Connaissances

ETL pipelines

Data modeling

SQL

Python

Security/compliance

Analytics & ML modeling

Formation

Bachelor of Science in Computer Science or related field

Outils

AWS

Azure

DoD Cloud

Databricks

Qlik

APIs

Description du poste

CSA Global LLC is seeking a Data Engineer to deliver secure and scalable data solutions for J35 GFM systems in the Norfolk, VA area. You will own enterprise ETL pipelines, analytics-ready data modeling, and ensure alignment with DoD cybersecurity and governance requirements.

You will collaborate with analysts and mission stakeholders to deploy data pipelines on AWS, Azure, and DoD Cloud, build APIs for secure data access, and optimize large-scale data processing systems in a compliance-heavy