Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, and Bedford, IN, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum is currently seeking a hands on Senior Data Security Engineer to design, build, and operate data pipelines and data products supporting United States Army Special Operations Command (USASOC) missions. This is an engineering role, not an analyst or compliance role. You will write production code, integrate mission and enterprise data sources into a common data environment, and deliver reliable, well-governed datasets that analysts and decision-makers depend on. Experience with Microsoft SQL Server (MSS) is a significant advantage.. Key Responsibilities Design, build, test, and maintain scalable batch and streaming data pipelines (ETL/ELT) in classified and air-gapped environments. Develop transformation logic in Python, SQL, and PySpark to ingest, clean, normalize, and enrich structured and unstructured data. Integrate data from mission systems, operational applications, databases, APIs, and file-based sources into enterprise data platforms. Design data models, schemas, and entity relationships that support analytics, reporting, and downstream applications. Build and publish curated datasets and data products with clear documentation, versioning, and service-level expectations. Implement data quality checks, validation, monitoring, and alerting to ensure pipeline reliability and trusted outputs. Establish and maintain data lineage, metadata, and cataloging in accordance with data governance policies. Apply data security controls, including role-based and attribute-based access, data tagging and labeling, and need-to-know enforcement. Automate deployment and operations using CI/CD, version control, and infrastructure-as-code practices. Troubleshoot production issues, perform root cause analysis, and optimize pipeline performance and cost. Support the deployment of analytics and ML/AI workflows into operational systems. Collaborate with mission owners, analysts, data scientists, security staff, and system administrators to translate requirements into engineered solutions. Required Qualifications Active Top Secret/SCI security clearance. Meets DoD 8140 foundational and residential qualification requirements for the assigned work role (approved certification, education, or training) Bachelor's degree in computer science, data science, information systems, or a related technical field, plus 7 years of relevant experience. 8140 compliances in certification/training may substitute for a degree. 7+ years of professional data engineering experience. Strong Python and SQL development skills, demonstrated through production pipelines or applications. Experience with distributed data processing (PySpark / Apache Spark). Experience with relational and non-relational data stores and with data modeling and schema design. Experience integrating multiple source systems into a centralized data platform. Proficiency in Linux environments, Git, and CI/CD workflows. Working knowledge of data governance, data lineage, and metadata management. Desired Qualifications Hands-on experience with Microsoft SQL Server (MSS), including T-SQL development and performance tuning. Prior work for USASOC, USSOCOM, or another special operations or Army component. Experience building and operating data platforms in classified or air-gapped environments (JWICS, SIPRNet). Experience with a modern data platform such as Palantir Foundry, Databricks, or comparable (pipelines, ontology/object modeling, application building). Experience with pipeline orchestration and streaming tools (e.g., Airflow, NiFi, Kafka). Experience with Elasticsearch/OpenSearch, graph databases, or geospatial data. Experience with containers and orchestration (Docker, Kubernetes) and infrastructure as code. Experience deploying ML/AI models or analytics into operational systems. Familiarity with RMF, ATO processes, and secure software development practices. Cloud experience in classified or government cloud environments. Certifications Certifications that satisfy the foundational qualification will depend on the assigned DCWF work role. Examples may include Security+, Cloud+, SecurityX, CCSP, CSC, GCLD, GSEC, CASP+ EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Requirements

Must-haves

Design, build, test, and maintain scalable batch and streaming data pipelines (ETL/ELT) in classified and air-gapped environments.
Develop transformation logic in Python, SQL, and PySpark to ingest, clean, normalize, and enrich structured and unstructured data.
Integrate data from mission systems, operational applications, databases, APIs, and file-based sources into enterprise data platforms.
Design data models, schemas, and entity relationships that support analytics, reporting, and downstream applications.
Build and publish curated datasets and data products with clear documentation, versioning, and service-level expectations.
Implement data quality checks, validation, monitoring, and alerting to ensure pipeline reliability and trusted outputs.
Establish and maintain data lineage, metadata, and cataloging in accordance with data governance policies.
Apply data security controls, including role-based and attribute-based access, data tagging and labeling, and need-to-know enforcement.
Automate deployment and operations using CI/CD, version control, and infrastructure-as-code practices.
Troubleshoot production issues, perform root cause analysis, and optimize pipeline performance and cost.
Support the deployment of analytics and ML/AI workflows into operational systems.
Collaborate with mission owners, analysts, data scientists, security staff, and system administrators to translate requirements into engineered solutions.

Nice-to-haves

Hands-on experience with Microsoft SQL Server (MSS), including T-SQL development and performance tuning.
Prior work for USASOC, USSOCOM, or another special operations or Army component.
Experience building and operating data platforms in classified or air-gapped environments (JWICS, SIPRNet).
Experience with a modern data platform such as Palantir Foundry, Databricks, or comparable (pipelines, ontology/object modeling, application building).
Experience with pipeline orchestration and streaming tools (e.g., Airflow, NiFi, Kafka).
Experience with Elasticsearch/OpenSearch, graph databases, or geospatial data.
Experience with containers and orchestration (Docker, Kubernetes) and infrastructure as code.
Experience deploying ML/AI models or analytics into operational systems.
Familiarity with RMF, ATO processes, and secure software development practices.
Cloud experience in classified or government cloud environments.
Certifications
Certifications that satisfy the foundational qualification will depend on the assigned DCWF work role. Examples may include Security+, Cloud+, SecurityX, CCSP, CSC, GCLD, GSEC, CASP+ EEO Commitment

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonci/cdmlaidockerkubernetes

Platform: greenhouse
Effort: quick