Security Data Engineer

MANTECH; Herndon (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

MANTECH in Herndon, VA seeks a Security Data Engineer to design and maintain enterprise data feeds connecting 10+ vendor APIs for network and security platforms.

You will build robust ETL pipelines, parse diverse data formats, and add AI-driven extraction, classification, and anomaly detection. The role emphasizes reliability, performance, and adapting to API changes.

Qualifications

• HS diploma with 10+ years in systems/data eng
• 5+ years building production data pipelines with Python
• Experience consuming REST or similar APIs at scale
• Experience integrating AI capabilities with applications

Responsibilities

• Design and maintain enterprise data feeds from 10+ network and security vendor APIs.
• Build intelligent parsers for diverse data formats.
• Orchestrate automated ETL pipelines for regular data download, transformation, and loading.
• Ensure reliability and performance through monitoring, error handling, and optimization.
• Adapt to API changes and vendor issues; integrate AI for data extraction and anomaly detection.

Education

High School Diploma

Bachelor of Science in Computer Science

Job description

MANTECH seeks a motivated, career and customer-oriented Security Data Engineer to join our team in Herndon, VA. In this role you are responsible for building and maintaining enterprise data feeds that power network and security intelligence platforms. In this role, you will integrate data from multiple vendor APIs, create robust ETL pipelines, and leverage AI to handle complex data extraction and normalization challenges.

Responsibilities Include, But Are Not Limited To

• Design and maintain enterprise data feeds from 10+ network and security vendor APIs.
• Build intelligent parsers that handle diverse data formats.
• Orchestrate automated pipelines for regular data download, transformation, and loading.
• Ensure reliability and performance through continuous monitoring, error handling, and optimization.
• Adapt to system changes by quickly resolving API updates, data format changes, and vendor issues.
• Integrate AI capabilities for data extraction, classification, anomaly detection, and auto-healing.
• Perform technical evaluations of new tools for potential use and positive impact on project processes.

Minimum Qualifications

• High School Diploma and 10+ years’ experience with Systems Engineering, Data Engineering or similar technical role
• 5+ years’ experience building production data pipelines with Python
• Experience consuming REST or similar APIs at scaleExperience with network and security tools such as Nmap, Rapid7, or similar tools
• Experience integrating AI capabilities with applications for efficient code responses

Preferred Qualifications

• Bachelor of Science degree in Computer Science or a related technical field
• Experience across the full Software Development Life Cycle (SDLC)
• Strong software testing practices and quality standards

Clearance Requirements: Active/current TS/SCI with polygraph is required

Physical Requirements: Must be able to remain in a stationary position 50% of the time.