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Data Engineer - Senior

Engineering | Honolulu, HI | Full Time and Contract

Job Description

About Us:

Calhoun International is an information technology and management consulting company providing innovative solutions to our clients. Our expertise ranges from strategic intelligence analysis and network modeling, expert instruction on intelligence analysis and sensors, and cyberspace operations to information systems training and services as well as knowledge management. Calhoun International is located in Tampa, FL with employees in Florida, Maryland, Virginia, Washington, D.C. and overseas. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.


Support the INDOPACOM JIOC, conducting strategic topic research and analysis for new intelligence requirements.
Specific needs are identified for support in "'collaborative intelligence planning, collection strategy development. Intelligence, Surveillance, and Reconnaissance (ISR ) mission management, foreign disclosure support. Counterintelligence (Cl ). Human Intelligence (HUMINT). collection operations management, exploitation, and innovative R&D, and Cyber Forensics.


  • Calhoun International is seeking a qualified Data Engineer professional to support the INDOPACOM JIOC. The contractor conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. 
  • Proactively retrieves information from various sources, analyzes it for better understanding about the data set. and builds Artificial Intelligence (AI ) tools that automate certain processes. Duties typically include: creating various Machine Learning ( ML)-based tools or processes, such as recommendation engines or automated lead scoring systems. 
  • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. 
  • Works with data users to determine, create, and populate optimal data architectures, structures, and systems.
  • Plans, designs, and optimizes data throughput and query performance. 
  • Participates in the selection of backend database technologies (e.g. SQL. NoSQL. UPC. etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume. ETL. and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.


  • Minimum 12 years of experience related labor category with at least a portion within the last 2 years
  • Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.
  • Experience with Computer/Data Science Languages including but not limited to: Java, Flash, C++, C#, Macromedia, HTML, XML, Analysis, Python, Corona SDK, JavaScript, WordPress, CSS, PHP, jQuery, Python, R, Watson IBM, Tableau, SAS
  • Experience with databases/applications/operating systems including:   MySQL, Access, Oracle, SQL Server. MS Word, PowerPoint, Excel, Eclipse, SharePoint, Windows, Azure (cloud)          
  • Familiar with formats/medium/tools including but not limited to:  Blitz, Cognos, Kibana, JEMA, SENTIENT, MIST, MOVINT, SOCET GXP, DotMatrix, Google Earth, SNAPGLASS or related tools
  • Ability to develop project based schedule and milestones
  • Desired experience:  Prior CCMD experience.  Ability to work in a fast paced/high OPTEMPO environment.
  • Desired attributes:   Confident, diligent, organized, strong planning, problem solving, and decision-making skills. Ability to adapt and perform under pressure in diverse environments. 

Security Clearance:

  • TS/SCI & CI Poly