RF Data Engineer

Parsons Corporation•Aberdeen, MD

23h•Onsite

About The Position

Parsons is seeking an RF Data Engineer with specialized expertise in DoD spectrum management, regulatory compliance, and data engineering to support our cutting-edge Drone Armor counter-unmanned aerial systems (C-UAS) program. This critical role requires extensive experience in military spectrum certification processes combined with advanced data science capabilities to ensure Done Armor systems operate effectively within complex electromagnetic environments while maintaining regulatory compliance.

Requirements

Master’s degree in computer science, electronics engineering OR other engineering or technical discipline is required with 10 yrs of experience OR 10 years of relevant RF/data engineering experience may be substituted for education
Minimum ten (10) years of experience with Department of Defense (DoD) spectrum management policy, certification, and documentation
Minimum eight (8) years of experience in generating DD Form 1494 and reviewing detailed spectrum certification documents
Minimum four (4) years of experience with data engineering, data analytics, or software development
Proficiency in programming languages such as Python, MATLAB, R, or similar for data analysis
Experience with RF measurement equipment and spectrum analyzers
Knowledge of wireless communication protocols and RF propagation principles
Familiarity with DoD spectrum management policies and procedures
Understanding of data engineering principles including ETL processes, data modeling, and database management
Experience with cloud technology platforms (AWS, Azure, Google Cloud) and their application to data engineering workflows
Understanding of data mesh architectures and data tagging methodologoies
Familiarity with electronic phenomena principles as they relate to RF systems and spectrum management
Must be a US Citizen
SECRET security clearance is required

Nice To Haves

PhD in Electrical Engineering, Computer Science, Data Science, or related discipline
Professional certifications in data science, cloud computing (AWS/Azure/GCP), or RF engineering
Experience with counter-drone technologies, electronic warfare, or signals intelligence (SIGINT)
Knowledge of commercial and military drone RF signatures and communication protocols
Experience with machine learning/AI applications for RF signal classification
Familiarity with software-defined radio (SDR) platforms and development
Knowledge of NTIA Redbook, ITU regulations, and CJCSM 3320.01
Experience with big data technologies (Hadoop, Spark, Kafka) for RF data processing
Proficiency in cloud platforms (AWS, Azure, Google Cloud) for data engineering workflows
Experience with data mesh architectures and modern data governance practices
Knowledge of containerization (Docker, Kubernetes) and DevOps practices
Experience with real-time data streaming and edge computing applications
Familiarity with digital signal processing (DSP) techniques and algorithms
Experience with software coding for data interoperability between DoD spectrum management systems
Experience accessing spectrum databases: Spectrum XXI, HNSWDO, JSDR, Stepstone, EL-CID
Proficiency with data visualization tools (Tableau, Power BI, Grafana)
Experience with version control systems (Git) and collaborative development environments
Experience performing Frequency Dependent Rejection and Frequency Distance Separation Analysis
Knowledge of statistical analysis and hypothesis testing methodologies
Experience with electromagnetic modeling and simulation tools

Responsibilities

RF Spectrum Analysis & Management
Analyze RF spectrum data to identify and characterize drone communication signatures and control frequencies
Develop and maintain spectrum certification documentation supporting Drone Armor system deployments
Coordinate frequency assignments and deconfliction efforts with military and civilian spectrum management authorities
Generate technical documentation including DD Form 1494 for Drone Armor RF operations
Conduct electromagnetic interference (EMI) and electromagnetic compatibility (EMC) analysis for C-UAS operations
Data Engineering & Analytics
Design and implement data pipelines for real-time RF signal collection, processing, and analysis from Drone Armor sensors
Develop machine learning models to improve drone detection accuracy and reduce false alarm rates
Create data visualization dashboards for operational monitoring and system performance assessment
Apply advanced analytics to RF spectrum data to identify emerging drone threats and communication protocols
Implement cloud-based data architectures for scalable storage and processing of RF sensor data
System Integration & Testing
Support field testing and evaluation of Drone Armor systems in operational environments
Perform frequency-dependent analysis to assess system effectiveness across various RF bands
Collaborate with software development teams to integrate RF data processing algorithms
Utilize spectrum databases (Spectrum XXI, JSDR, EL-CID) to support deployment planning
Conduct Spectrum Supportability Risk Assessments (SSRAs) for Drone Armor acquisitions
Technical Documentation & Coordination
Prepare technical reports documenting RF performance, spectrum utilization, and system capabilities
Support Host Nation Coordination activities for international Drone Armor deployments
Assist with Equipment Spectrum Certification processes per AR 5-12 and DoD 5000.1
Maintain awareness of evolving drone technologies and RF communication standards