

B4 Corp
Cloud Data Engineer with Security Clearance
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer with active Secret Clearance, offering over 6 months of on-site work at Fort Meade. The position requires 5+ years in data engineering, expertise in Azure and AWS, and strong SQL and Python skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
1000
-
ποΈ - Date
November 18, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
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π - Security
Yes
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π - Location detailed
Fort Meade, MD
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π§ - Skills detailed
#Cybersecurity #Agile #Azure #Migration #Security #ADF (Azure Data Factory) #Data Extraction #Data Science #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Lake #Data Management #Python #"ETL (Extract #Transform #Load)" #Cloud #Microsoft Power BI #Compliance #Databricks #Data Migration #Synapse #Scala #Data Orchestration #Oracle #Automation #Redshift #Data Architecture #Workday #Data Governance #Data Engineering #Data Warehouse #Azure Data Factory #Computer Science #BI (Business Intelligence) #AWS Glue #Data Manipulation #DevOps #S3 (Amazon Simple Storage Service) #Data Pipeline #Databases
Role description
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. This is an exciting, long-term opportunity offering a $1,000 sign-on bonus and the chance to contribute to a five-year federal program focused on data modernization and multi-cloud integration. Key Responsibilities Design, build, and maintain data pipelines and ETL processes across Azure and AWS 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 secure, centralized 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 for 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) Bachelorβs degree in Data Science, Computer Science, or a 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 Desired Experience Experience with Workday HCM projects, including integrations, reporting, and data migration Knowledge of IT HCM processes and cloud-based HR solutions Workday certifications (e.g., Workday HCM Core, Workday Integration, Workday Reporting/Analytics) Experience supporting enterprise cloud implementations and cross-functional teams Familiarity with SDLC, Agile methodology, and collaboration with DevOps/software development teams Desired Experience Experience with Workday HCM projects, including integrations, reporting, and data migration Knowledge of IT HCM processes and cloud-based HR solutions Workday certifications (e.g., Workday HCM Core, Workday Integration, Workday Reporting/Analytics) Experience supporting enterprise cloud implementations and cross-functional teams Familiarity with SDLC, Agile methodology, and collaboration with DevOps/software development teams
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. This is an exciting, long-term opportunity offering a $1,000 sign-on bonus and the chance to contribute to a five-year federal program focused on data modernization and multi-cloud integration. Key Responsibilities Design, build, and maintain data pipelines and ETL processes across Azure and AWS 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 secure, centralized 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 for 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) Bachelorβs degree in Data Science, Computer Science, or a 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 Desired Experience Experience with Workday HCM projects, including integrations, reporting, and data migration Knowledge of IT HCM processes and cloud-based HR solutions Workday certifications (e.g., Workday HCM Core, Workday Integration, Workday Reporting/Analytics) Experience supporting enterprise cloud implementations and cross-functional teams Familiarity with SDLC, Agile methodology, and collaboration with DevOps/software development teams Desired Experience Experience with Workday HCM projects, including integrations, reporting, and data migration Knowledge of IT HCM processes and cloud-based HR solutions Workday certifications (e.g., Workday HCM Core, Workday Integration, Workday Reporting/Analytics) Experience supporting enterprise cloud implementations and cross-functional teams Familiarity with SDLC, Agile methodology, and collaboration with DevOps/software development teams





