over 1 year ago
Laurel, MD, USAStaff+
Responsibilities
- Develop, enhance, and maintain analytic tools and data pipelines.
- Write and debug Python code for processing and analyzing mission data.
- Support system authorization activities, RMF documentation, and compliance checks.
- Conduct vulnerability assessments and interpret Nessus scan results.
- Monitor data systems and investigate data quality, security, and workflow continuity issues.
- Collaborate with engineering, analytics, and security teams to prioritize data and security requirements.
- Participate in Agile activities including sprint planning, reviews, and stand-ups.
Requirements
- TS/SCI clearance with Polygraph.
- At least 12 years of experience with a High School Diploma/GED, 10 years with an Associate's Degree, 8 years with a Bachelor's Degree, 6 years with a Master's Degree, or 4 years with a Doctorate's Degree.
- IAT Level 2 Certification, such as Security+ CE or equivalent.
- Experience with Windows and/or Linux.
- Strong analytic development experience and proficiency in Python.
- Experience with system authorization, RMF, and vulnerability management including Nessus.
- Preferred experience with patch management, IAVA tracking, PIG, PySpark, Scala, AWS Lambda, and Agile environments.
Benefits
- $10,000 annual training and education benefit.
- 10% 401(k) contribution fully vested on day one.
- Annual health and technology allowances.
- Access to a state-of-the-art technology lab.
- Professional development, internal advancement, and long-term career growth opportunities.
About ClearEdge
ClearEdge delivers software engineering, cloud, big data, and analytics solutions for U.S. government programs, particularly within the Department of Defense and Intelligence Community. Headquartered in Jessup, Maryland and founded in 2002, the privately held firm works across full-stack development, high-performance computing, data visualization, and training. Its business model centers on government contracts where it serves as a prime or subcontractor to build and operate production, data-intensive systems.