Secret Cleared Cloud Data Engineer
Job in
Fort Meade, Anne Arundel County, Maryland, USA
Listed on 2026-06-18
Listing for:
Advantech GSE Inc.- WOSB & HUBZONE Professional Services
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, AWS, Data Security
Job Description & How to Apply Below
Advantech GS Enterprises is seeking a Data Cloud Engineer with expertise in cloud-based data architecture, security compliance, and analytics to 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.
- 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
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