More About the Role:
CACI is looking for a Data Engineer supporting the IC. Individual will design, implement, and operate data driven approaches to client’s intelligence requirements. Design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems as necessary/directed. Work will GEOINT analysts to determine, create, and populate optimal data architectures, structures, systems, process automation, and models to support customer intelligence requirements.
Provide expertise on all facets of GEOINT, including related fields such as but not limited to open-source GEOINT, data science/analysis, imagery science, and facilitate the integration of emerging GEOINT capabilities as necessary/directed. Will be responsible for developing, adapting, and/or integrating algorithms, software tools, and tradecraft to satisfy customer requirements, as necessary/directed.
Minimum Education and Experience Required:
MA/MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT Intelligence Analysis
BA/BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 7 years CURRENT Intelligence Analysis
Minimum Qualifications:
Must have an active TS/SCI
Excellent written & oral communication, research, and analytic skills
Expert ability to manage personnel, requirements, and coordination of projects
Expert capabilities to research, create, develop, and deliver professional briefings, multimedia presentations, and written reports
Experience utilizing programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across industry-leading GPU architectures to answer analytic questions
Experience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and ability to interrogate databases efficiently using SQL
Experience with tradecraft and publication; ability to coordinate and support cross-community meetings and working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions
These Qualifications Would Be Nice to Have:
Knowledge of Army structure and defense level intelligence operations: intelligence collection, fusion, analysis, production, and dissemination for intelligence databases and products
Knowledge and experience with intelligence operations and in assisting with drafting expert assessments across operations priorities on behalf of the stakeholder
Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification (GPC-F, GPC_IA-II, GPC_GA-II, GPC_IS-II, etc.).
Knowledge and understanding of the National System for GEOINT (NSG) and Intelligence Community; knowledge of private sector data science/analytics, machine learning, and data visualization communities.
What We Can Offer You:
We’ve been named a Best Place to Work by the Washington Post.
Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
We offer competitive benefits and learning and development opportunities.
We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.
Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
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