CACI-posted 3 months ago
$75,200 - $158,100/Yr
Full-time • Mid Level
WV
5,001-10,000 employees

DarkBlue is a leading provider of dark web intelligence. Our mission is to empower organizations with comprehensive, actionable intelligence from the hidden corners of the internet to protect against emerging threats and criminal activities. We specialize in dark web and Telegram data collection, analysis, and intelligence generation for national security, law enforcement, and enterprise customers. We are seeking a strategic, big-picture thinking Data Engineer who will serve as a technical problem solver within our intelligence operations. This role combines deep technical expertise in data engineering with strategic analytical thinking to solve complex system-level challenges in dark web and other data collection, processing, and intelligence generation. The ideal candidate will be self-motivated, possess strong Elasticsearch and Python expertise, and demonstrate experience in cybersecurity, intelligence, or investigative domains.

  • Design and implement scalable data pipelines for dark web and open-source intelligence data
  • Architect and maintain robust ETL/ELT processes for multi-source data integration
  • Develop and optimize data models for complex intelligence datasets
  • Implement data quality frameworks ensuring integrity of intelligence data
  • Design, implement, and maintain Elasticsearch clusters optimized for intelligence data
  • Implement advanced search capabilities and query optimization across terabytes of dark web data
  • Create and maintain Kibana dashboards and visualizations for intelligence analysts
  • Build and maintain ML data pipelines supporting threat detection and predictive analytics
  • Collaborate with data scientists to productionize machine learning models
  • Identify and resolve performance bottlenecks in large-scale data processing systems
  • Design fault-tolerant, highly available systems for mission-critical operations
  • Implement monitoring, alerting, and observability solutions for data infrastructure
  • Collaborate with intelligence analysts to translate requirements into technical solutions
  • Develop metrics and KPIs to measure data quality and system performance
  • 5+ years of experience in data engineering with focus on large-scale data processing
  • Expert-level proficiency in Elasticsearch including cluster architecture and optimization
  • Strong programming skills in Python
  • Database expertise across relational and NoSQL technologies
  • Cloud platform experience (AWS) with infrastructure-as-code tools
  • Experience with containerization and orchestration technologies
  • Strategic thinking capability with strong analytical and troubleshooting skills
  • Experience with data modeling for analytical workloads
  • Understanding of statistical concepts and machine learning principles
  • Self-motivated and autonomous work style
  • Excellent communication skills with both technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Data Engineering, or related field
  • Master's degree in Computer Science, Data Engineering, or related field
  • Experience with graph databases (Neo4j, Amazon Neptune)
  • Knowledge of streaming technologies (Apache Kafka, AWS Kinesis)
  • Familiarity with security frameworks and compliance requirements
  • Intelligence or investigative experience in law enforcement or national security
  • Knowledge of dark web ecosystems and criminal marketplaces
  • Experience with OSINT tools and methodologies
  • Active security clearance or ability to obtain clearance
  • Healthcare
  • Wellness programs
  • Financial benefits
  • Retirement plans
  • Family support
  • Continuing education
  • Time off benefits
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