Software Programmer - Mid Level

Invictus International Consulting, LLC
Washington, DC, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

IBM Watson Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Big Data C Sharp (Programming Language) Cloud Computing Computer Programming Databases R (Programming Language) Python (Programming Language) Machine Learning
+8 more
NoSQL Oracle (Applications) Power BI Software Engineering SQL Databases Tableau (Software) Unstructured Data Programming Languages

Job description

  • Organize and maintain a database with tools not limited to Python, Java, C#, or JavaScript inscription with Federal Records Act (FRA), Freedom of Information Act (FOIA), and Privacy Act (PA) compliance and integrity.
  • Provide software engineering and computer programming expertise to digitize scalable volumes of documentation to ingest, retrieve, view and export.

Requirements

Clearance: TS/SCI with ability to obtain and maintain CI polygraph, * Minimum of 4 years’ experience programming, operating and maintaining databases, certificates and/or education in IBM Watson, IBM Enterprise Name Search, Java Fusion Charts, Microsoft PowerBI, Tableau and Oracle

  • Current active TS/SCI clearance with the ability to obtain and maintain a CI polygraph
  • Proficiency in Python, R, SQL, or similar programming languages.
  • Experience with data visualization platforms such as Power BI or Tableau.
  • Strong understanding of statistical techniques and modeling approaches.
  • Foundational knowledge of AI/ML concepts and applications.
  • Experience working with relational and/or NoSQL databases.
  • Familiarity with cloud-based big data technologies.
  • Ability to explain complex technical findings to non-technical audiences.
  • Understanding of intelligence analysis processes and mission requirements.
  • Experience working with structured and unstructured datasets in complex environments.

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