Senior Data Engineer

Prescient EdgeAugusta, GA
Onsite

About The Position

Prescient Edge is seeking a Sr. Data Engineer to support a Federal Government client. Please note that the availability of this position is contingent upon contract award.

Requirements

  • 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.
  • MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT Intelligence Analysis experience
  • BA or BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 years CURRENT Intelligence Analysis experience
  • HS diploma/GED AND Specialized Training with at least 15 years of Intelligence Analysis experience to include 10 years of CURRENT GEOINT Analysis experience AND 5 years of Data Analytics, Informatics, Statistics experience.
  • Active TS/SCI and with the ability to obtain a CI Poly if needed.

Responsibilities

  • 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.

Benefits

  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule.
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.
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