Cyber Data Analytics Engineer - PRIME, Hybrid - TS/SCI
Role details
Job location
Tech stack
Job description
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.
Requirements
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.
*Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements.
Clearance Requirements Active TS/SCI is required; CI poly preferred. Please note, you must have the required clearance for consideration; under-cleared applicants will not receive a response.