Cloud Data Engineer Security Clearance

Position: Cloud Data Engineer with Security Clearance
Clearance Jobs is currently partnering with a government contractor to assist in hiring a Cloud Data Engineer on a full-time, permanent basis. This position can be performed 100% remotely and requires an active Secret security clearance.

Title:

Cloud Data Engineer

Location:

Remote / Telecommute

Position Summary:

The Cloud Data Engineer will have demonstrated expertise in cloud-based data architecture, security compliance, and analytics and will support the DISA NEXUS program at Fort Meade. The ideal candidate will design, develop, and secure cloud-enabled data solutions within Azure and AWS, leveraging best practices in data management, automation, and DoD compliance. Responsibilities:

• Design, build, and maintain data pipelines and ETL processes across Azure and AWS cloud platforms.

• Develop and optimize data models, data lakes, and data warehouses to support mission analytics and reporting.

• Integrate structured and unstructured data from multiple systems into centralized, secure repositories.

• Collaborate with cloud and cybersecurity teams to ensure compliance with DoD STIGs, RMF, and FedRAMP standards.

• Implement and enforce data governance, integrity, and access controls across the cloud data environment.

• Work extensively with Oracle databases, including data extraction, transformation, and migration into cloud environments.

• Utilize tools such as Azure Data Factory, AWS Glue, Databricks, SQL, and Power BI for data orchestration and analytics.

• Monitor and enhance data performance, ensuring high availability, reliability, and scalability.

• Support ongoing cloud modernization efforts and provide technical expertise for data-driven decision-making.

Qualifications:

• Active Secret Clearance (required)

• Bachelor’s degree in Data Science, Computer Science, or related field

• 5+ years of experience in data engineering, database development, or cloud data solutions

• Hands-on experience with Azure and/or AWS cloud data services (Azure Data Factory, AWS Glue, Redshift, S3, Synapse, etc.)

• Strong SQL and Python skills for data manipulation and automation