Posted today
Top Secret/SCI
Senior Level Career (10+ yrs experience)
$165,000 - $185,000
IT - Data Science
Washington, DC (On/Off-Site)
Senior Data Engineer
Location: On‑Site – DHS Headquarters, Washington, DC
Clearance Requirement: Active TS/SCI OR ability to obtain DHS EOD SCI
Employment Type: Full‑Time
Position Overview
We are seeking a Senior Data Engineer to support mission‑critical data platforms within a secure Department of Homeland Security (DHS) environment. This role is responsible for designing, developing, and maintaining scalable, cloud‑based data pipelines that enable advanced analytics, real‑time data processing, and AI/ML‑driven capabilities.
The ideal candidate brings deep experience in modern data engineering practices, cloud technologies, and streaming architectures, with a strong understanding of operating in highly regulated and classified environments.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines supporting structured and unstructured data sources.
Ingest and integrate data from APIs, relational databases, file systems, third‑party services, and real‑time streaming platforms.
Architect and deploy cloud‑native data solutions leveraging AWS services.
Build and support data warehousing and data lake architectures optimized for analytics and performance.
Implement and manage streaming data pipelines using Apache Kafka or equivalent technologies.
Optimize and maintain data storage solutions across multiple paradigms, including relational, columnar, object, and key‑value stores.
Orchestrate and monitor complex workflows using Apache Airflow or similar scheduling tools.
Collaborate with data scientists and analytics teams to integrate AI/ML and LLM‑enabled capabilities into production data pipelines.
Ensure adherence to data governance, security, lineage, and compliance requirements within a classified environment.
Troubleshoot, optimize, and improve performance, reliability, and scalability of data systems.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
10+ years of experience in data engineering, software engineering, or related roles.
Strong proficiency in Python for data processing and pipeline development.
Hands‑on experience with AWS cloud services supporting data engineering workloads.
Demonstrated experience with Apache Kafka and real‑time data streaming architectures.
Experience building and maintaining data warehouses and data lakes.
Solid understanding of database technologies and storage trade‑offs.
Familiarity with workflow orchestration tools such as Apache Airflow.
Experience working in secure, regulated, or classified environments.
Ability to work on‑site at DHS Headquarters in Washington, DC.
Preferred Qualifications
Experience with data cataloging, metadata management, or semantic layer design.
Exposure to containerization and orchestration technologies (Docker, Kubernetes).
Familiarity with MLOps platforms or AI/ML deployment pipelines.
Prior experience supporting DHS, federal law enforcement, or Intelligence Community programs.
Clearance Requirement
Active TS/SCI clearance
OR
Ability to successfully obtain DHS EOD SCI
Why This Role
This position offers the opportunity to work on high‑impact national security and homeland defense missions, leveraging cutting‑edge data technologies in a secure, enterprise‑scale environment.
Location: On‑Site – DHS Headquarters, Washington, DC
Clearance Requirement: Active TS/SCI OR ability to obtain DHS EOD SCI
Employment Type: Full‑Time
Position Overview
We are seeking a Senior Data Engineer to support mission‑critical data platforms within a secure Department of Homeland Security (DHS) environment. This role is responsible for designing, developing, and maintaining scalable, cloud‑based data pipelines that enable advanced analytics, real‑time data processing, and AI/ML‑driven capabilities.
The ideal candidate brings deep experience in modern data engineering practices, cloud technologies, and streaming architectures, with a strong understanding of operating in highly regulated and classified environments.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines supporting structured and unstructured data sources.
Ingest and integrate data from APIs, relational databases, file systems, third‑party services, and real‑time streaming platforms.
Architect and deploy cloud‑native data solutions leveraging AWS services.
Build and support data warehousing and data lake architectures optimized for analytics and performance.
Implement and manage streaming data pipelines using Apache Kafka or equivalent technologies.
Optimize and maintain data storage solutions across multiple paradigms, including relational, columnar, object, and key‑value stores.
Orchestrate and monitor complex workflows using Apache Airflow or similar scheduling tools.
Collaborate with data scientists and analytics teams to integrate AI/ML and LLM‑enabled capabilities into production data pipelines.
Ensure adherence to data governance, security, lineage, and compliance requirements within a classified environment.
Troubleshoot, optimize, and improve performance, reliability, and scalability of data systems.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
10+ years of experience in data engineering, software engineering, or related roles.
Strong proficiency in Python for data processing and pipeline development.
Hands‑on experience with AWS cloud services supporting data engineering workloads.
Demonstrated experience with Apache Kafka and real‑time data streaming architectures.
Experience building and maintaining data warehouses and data lakes.
Solid understanding of database technologies and storage trade‑offs.
Familiarity with workflow orchestration tools such as Apache Airflow.
Experience working in secure, regulated, or classified environments.
Ability to work on‑site at DHS Headquarters in Washington, DC.
Preferred Qualifications
Experience with data cataloging, metadata management, or semantic layer design.
Exposure to containerization and orchestration technologies (Docker, Kubernetes).
Familiarity with MLOps platforms or AI/ML deployment pipelines.
Prior experience supporting DHS, federal law enforcement, or Intelligence Community programs.
Clearance Requirement
Active TS/SCI clearance
OR
Ability to successfully obtain DHS EOD SCI
Why This Role
This position offers the opportunity to work on high‑impact national security and homeland defense missions, leveraging cutting‑edge data technologies in a secure, enterprise‑scale environment.
group id: kforcecx
We offer roles across all three clearance levels: Confidential, Secret and Top Secret. With a Top Secret Facilities clearance, a proven subcontractor track record and a deep understanding of agencies across Defense, Intelligence, Homeland, Justice and Federal Civilian Sectors, Kforce brings more than 20 years of experience to supporting critical missions at federal, state and local levels.
