An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Nyla Technology Solutions is seeking a data-focused engineer to process, analyze, and validate complex security datasets using Python. You will deploy statistical models and anomaly detection to monitor systems through the RMF lifecycle.
You will also build and maintain robust ETL pipelines, integrating data from network sensors, security tools, and compliance databases to deliver clean, actionable intelligence streams. A TS/SCI clearance with polygraph is required.
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
In this mission-critical role, you will sit at the crossroads of data science, data engineering, and automated compliance. You will leverage Python to process, analyze, and validate complex security datasets, deploying statistical models and anomaly detection algorithms to spot outliers as systems progress through the Risk Management Framework (RMF) lifecycle. Beyond analytical modeling, you’ll roll up your sleeves to build and maintain robust ETL pipelines—integrating raw data from network sensors, security tools, and compliance databases into clean, actionable intelligence streams. If you love solving messy data challenges, building scalable dataflows, and bringing your authentic self to secure critical national systems, Team Nyla wants you on our team!
The annual base salary range for this role is $190,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.