Cyber Data Analytics Engineer - PRIME, Hybrid - TS​/SCI Columbia, MD

The Role

Our client is seeking a Data Profiler to support the research, normalization, and correlation of mission‑critical data sets. In this role, you will leverage SIEM platforms to author complex queries and develop analytics that drive data integrity. You will work across a variety of cyber data sources to perform extraction, custom translation, and loading, ensuring data is properly prepped and labeled for high‑level analytics.

This position is ideal for a detail‑oriented professional who can navigate technical complexities and work effectively in both independent and team environments.

• Experience:
  
  Technical BS + 9 years of total relevant experience (3 years specific to the role plus 6 years in similar data analytical positions; 4 years of additional experience may substitute for a degree).
• Technical
  
  Skills:
  
  Proficiency with SIEM tools (Splunk, Elastic) and the ability to author complex queries (SPL, SQL, Kibana, or Sigma Rules).
• Core Competencies:
  
  Fluency in ETL processes, custom translation development, and data labeling.
• Domain Knowledge:
  Technical experience in cyber data analysis, including continuous monitoring, intelligence, and reporting.
• Desired Extras:
  Familiarity with the OSI model, common network protocols, and various log formats (JSON, XML). Experience with Jupyter notebooks or Big Data Platforms (BDP/JCC2) is a plus.
• Certifications:
  
  DoD IAT II or higher (Sec+, etc) required for consideration.

Active TS/SCI is required; CI poly preferred. Applicants must have the required clearance for consideration; under‑cleared applicants will not receive a response.

San Antonio, TX;
Columbia, MD; or Sterling, VA (Hybrid).