TS/SCI Cleared Data Engineer/Scientist — Intelligence Ops

Sphinx LLC; Springfield (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401K with company match

Health, vision, dental insurance

Job summary

SPHINX LLC is seeking a Data Engineer/Scientist to support counterintelligence operations in a high‑security setting in Springfield, VA. You will design data pipelines, develop ML models, and apply advanced analytics to classified datasets, enabling mission-critical decisions.

On-site role requiring TS/SCI with CI polygraph and US citizenship. The position emphasizes building scalable infrastructure and collaborating with analysts to translate operational questions into robust technical

Qualifications

• Active TS/SCI clearance with CI Polygraph or equivalent is required.
• U.S. Citizenship is required for clearance eligibility.
• BS in Computer Science, Data Science, Mathematics, or related field.
• 8+ years of data engineering and/or data science experience.

Responsibilities

• Design, build, and maintain data pipelines and infrastructure for CI analytical workflows.
• Develop and deploy ML models and advanced analytics on high-sensitivity data.
• Apply statistical modeling to surface actionable insights from classified data.
• Maintain and optimize databases within accredited classified environments.
• Collaborate with analysts and mission stakeholders to translate questions into solutions.

Skills

ML modeling

Data pipeline design

DoD/IC experience

Problem solving

Education

BS in Computer Science / Data Science / Mathematics

Tools

Airflow

Spark

Hadoop

Kafka

Elasticsearch

Job description

SPHINX LLC is seeking a Data Engineer/Scientist to support counterintelligence operations in a high‑security setting in Springfield, VA. You will design data pipelines, develop ML models, and apply advanced analytics to classified datasets, enabling mission-critical decisions.

On-site role requiring TS/SCI with CI polygraph and US citizenship. The position emphasizes building scalable infrastructure and collaborating with analysts to translate operational questions into robust technical