Senior Signals Automation Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking an innovative, mission-driven Data Analytics & Signals Software Engineer. In this high-impact role, you will design, build, and maintain custom data analytics frameworks that automate and scale complex signals analysis across high-throughput data streams. Working closely with domain experts and signals analysts, you will translate operational requirements into scalable algorithmic models, pipeline transformations, and analytics solutions that accelerate threat detection and operational decision-making. If you thrive on applying modern software engineering to massive data streams, building custom analytics tools, and bringing your authentic self to high-stakes defense tech, Team Nyla wants you on board!

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Hands-on experience designing, developing, and deploying custom software analytics to automate and scale signals analysis and processing.
Demonstrated proficiency in crafting automated data ingestion, transformation, and analytical pipelines for high-volume datasets.
Core technical capabilities in Python, Java, or C++ to write efficient algorithms, parse complex data formats, and support analytics tools.
Ability to work directly with analysts and operational teams to evaluate signal signatures and transition domain expertise into automated machine capabilities.
Working experience in Agile development environments utilizing Git, Jira, and Confluence for workflow tracking and documentation.
Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10 + years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree.

Nice To Haves

Familiarity with distributed computing frameworks such as Apache Spark, Hadoop, or ElasticSearch for large-scale data queries.
Experience designing intuitive dashboards or visualization components to display analytics outputs to analysts in real time.
Exposure to Docker and Kubernetes environments for deploying scalable analytics services.

Responsibilities

Design, build, and maintain custom data analytics frameworks that automate and scale complex signals analysis across high-throughput data streams.
Translate operational requirements into scalable algorithmic models, pipeline transformations, and analytics solutions that accelerate threat detection and operational decision-making.
Craft automated data ingestion, transformation, and analytical pipelines for high-volume datasets.
Write efficient algorithms, parse complex data formats, and support analytics tools.
Evaluate signal signatures and transition domain expertise into automated machine capabilities.
Utilize Git, Jira, and Confluence for workflow tracking and documentation.