Security Data Engineer - AI-Driven Data Pipelines

Archer; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Archer, in collaboration with MANTECH, seeks a Security Data Engineer in Herndon, VA. You will build enterprise data feeds from 10+ network and security vendor APIs, develop robust ETL pipelines in Python, and leverage AI to enhance data extraction and normalization.

You will design intelligent parsers, automate data loading, and ensure reliability, performance, and quick adaptation to API changes, contributing to secure, scalable security analytics platforms.

Qualifications

• High School Diploma and 10+ years’ experience in Systems Engineering or similar technical role.
• 5+ years’ experience building production data pipelines with Python.
• Experience consuming REST APIs at scale and working with network/security tools.
• Experience integrating AI capabilities with applications for data extraction and automation.

Responsibilities

• 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 monitoring, error handling, and optimization.
• Adapt to system changes by resolving API updates and vendor changes quickly.
• Integrate AI capabilities for data extraction, classification, anomaly detection, and auto-healing.
• Evaluate new tools for positive impact on project processes.

Skills

Python

REST APIs

Data pipelines

AI integration

Nmap

Rapid7

ETL pipelines

Systems engineering

Education

Bachelor of Science in CS

Tools

Nmap

Rapid7

APIs

Job description

Archer, in collaboration with MANTECH, seeks a Security Data Engineer in Herndon, VA. You will build enterprise data feeds from 10+ network and security vendor APIs, develop robust ETL pipelines in Python, and leverage AI to enhance data extraction and normalization.

You will design intelligent parsers, automate data loading, and ensure reliability, performance, and quick adaptation to API changes, contributing to secure, scalable security analytics platforms.