Data Analytics Engineer - PRIME, Hybrid - TS/SCI Sterling, VA

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. What You'll Bring 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). Proficiency with SIEM tools (Splunk, Elastic) and ability to author complex queries (SPL, SQL, Kibana, or Sigma Rules). Fluency in ETL processes, custom translation development, and data labeling. Technical experience in cyber data analysis, including continuous monitoring, intelligence, and reporting. Familiarity with the OSI model, common network protocols, and various log formats (JSON, EML). Experience with Jupyter notebooks or Big Data Platforms (BDP/JCC2) is a plus. DoD IAT II or higher (Sec+, etc) required for consideration. Clearance Requirement Active TS/SCI is required; CI poly preferred. Location San Antonio, TX; Columbia, MD; or Sterling, VA (Hybrid). #J-18808-Ljbffr