Senior Full-Stack Engineer - Offensive Security Ops (TS/SCI)

Neuralsolutions

Columbia, Northern (MD, KY)

Hybrid

USD 204,000 - 247,000

Full time

28 hours ago
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Job summary

Neural Solutions in Columbia, MD seeks a Senior Engineer for Offensive Security Operations to design and implement data-driven security tooling. You will collaborate with analysts to plan pipelines, build web interfaces, and tailor solutions to national security data challenges.

The role emphasizes Python development, data manipulation with Pandas/Polars, and SQL proficiency, with TS/SCI level clearance preferred. Columbia, MD on-site, competitive compensation.

Qualifications

  • Experience using Python for application development, scripting, and data manipulation.
  • Knowledge of dataframes (Pandas, Polars).
  • Comfortable with SQL and experience with databases (SQLite, PostgreSQL, MySQL).
  • Understanding of Git and GitLab for source control.
  • Nice to have: AWS certifications.
  • Nice to have: DevOps CI/CD experience.
  • Nice to have: Experience with agency data processing and data storage.
  • Nice to have: Offensive security operations experience.
  • Experience: 12 years with a Bachelor’s degree in a technical field, or 16 years without degree.

Responsibilities

  • Develop web applications to intuitively convey data and analysis.
  • Facilitate customer interactions to gather feature requests and understand project needs.

Skills

Python
Pandas/Polars
SQL
Git/GitLab
Web app development

Education

Bachelor’s degree in CS/Engineering

Tools

Git
GitLab
SQLite
PostgreSQL
MySQL

Job description

Neural Solutions in Columbia, MD seeks a Senior Engineer for Offensive Security Operations to design and implement data-driven security tooling. You will collaborate with analysts to plan pipelines, build web interfaces, and tailor solutions to national security data challenges.

The role emphasizes Python development, data manipulation with Pandas/Polars, and SQL proficiency, with TS/SCI level clearance preferred. Columbia, MD on-site, competitive compensation.

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