Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED As a Data & Protocol Software Engineer on Team Nyla, you will bring your technical creativity and collaborative energy to build and maintain large-scale data analytics pipelines. Working alongside a team of brilliant, ever-curious engineers, you will solve complex data challenges—combining your deep understanding of network protocols with distributed data processing engines like Spark and Python. Whether optimizing ETL routines, streaming high-volume dataflows, or performing deep protocol analysis, your work will directly empower real-time mission capabilities. If you are passionate about continuous learning, rapid impact, and engineering elegance, you'll fit right in. The annual base salary range for this role is $152,000-$180,000 (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. • Large-Scale Data Analytics: Hands-on experience building, maintaining, and scaling data processing pipelines handling large-scale datasets. • Core Software & Processing: Proficiency in Python and Apache Spark for data manipulation and distributed computing. • Network & Protocol Analysis: Strong technical background in network architecture and deep protocol analysis. Education: Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED , PLUS 11+ years of specialized technical experience in lieu of a degree. Practical experience with ETL pipelines , data routing architectures, and dataflow processing (e.g., Apache NiFi). Exposure to packet processing, low-level inspection tools, or target analysis workflows. Active involvement in continuous learning, prototype development, or emerging tech exploration. Outstanding communication skills with a team-first, collaborative mindset.

Requirements

Must-haves

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Large-Scale Data Analytics: Hands-on experience building, maintaining, and scaling data processing pipelines handling large-scale datasets.
Core Software & Processing: Proficiency in Python and Apache Spark for data manipulation and distributed computing.
Network & Protocol Analysis: Strong technical background in network architecture and deep protocol analysis.
Practical experience with ETL pipelines , data routing architectures, and dataflow processing (e.g., Apache NiFi).
Exposure to packet processing, low-level inspection tools, or target analysis workflows.
Active involvement in continuous learning, prototype development, or emerging tech exploration.
Outstanding communication skills with a team-first, collaborative mindset.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: agile-ats
Effort: medium