Graph Workflow Engineer (TS/SCI)
About the role
Our team is committed to providing senior National Security leaders with decision-worthy data and analysis to improve the effectiveness of Intelligence systems supporting DoW Warfighters. The team is building mission-critical intelligence workflows to produce decision advantage for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Graph Workflow Engineer with a variety of technical skills, a curiosity to learn and innovate, and general understanding of the defense intelligence enterprise. Our engineering team leverages graph technology and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of War.
Responsibilities
- Develop analytic tools and deliver graph-based analytic workflows.
- Apply data engineering or software development skills to configure graph-enabled applications in GraphAware Hume, workflow tools, investigative interfaces, or similar operational software.
- Use programming languages (e.g., Python, JavaScript, Java, Visual Basic for Applications, R) to deliver data engineering and/or software development services.
Requirements
- US Citizen with active TS/SCI clearance or immediate eligibility according to DISS security database (SCI within last 2 years).
- Bachelor’s Degree, preferably in STEM fields.
- 3+ years of experience applying data engineering or software development skills.
- 3+ years of experience using programming languages (e.g., Python, JavaScript, Java, Visual Basic for Applications, R).
- 1+ years of experience configuring graph-enabled applications in GraphAware Hume, workflow tools, investigative interfaces, or similar operational software.
Preferred Qualifications
- Master’s Degree, preferably in STEM fields.
- 3+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired.
- 1+ year of experience with GraphAware Hume, Neo4j-backed applications, or investigative workflow platforms.
- Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing.