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Senior Data EngineerAltamira Technologies • Augusta, Georgia, United States
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Senior Data Engineer

Altamira Technologies
  • US
    Augusta, Georgia, United States
  • US
    Augusta, Georgia, United States
Jetzt Bewerben

Über

Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
We focus on recruiting talented, self‑motivated employees who strive to get things done.
An Altamira Data Engineer is an integral member of an analytic and engineering team. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand‑alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.
Minimum Education / Experience MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT Intelligence Analysis experience; OR BA or BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 years CURRENT Intelligence Analysis experience; OR 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.
Minimum Qualifications
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
Desired Experience
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
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  • Augusta, Georgia, United States

Sprachkenntnisse

  • English
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