As a member of our solutions delivery team, you will have the unique opportunity to work on programs advancing the most critical government systems. NT Concepts is seeking an experienced Data Engineer to work on an exciting data transformation opportunity within our Intel Community.

Clearance: TS/SCI required


  • Plan, create, and maintain data architectures while also keeping it aligned with business requirements
  • Build and maintain database systems and work with data warehouses across multiple databases and are responsible for developing table schemas
  • Build and use APIs in databases to enable data scientists and business intelligence analysts to query the data
  • Create predictive models and apply forecasting techniques to learn about the future and provide actionable insights
  • Use descriptive data model for data aggregation to extract historical insights
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Use data and pinpoint manual tasks that can be automated
  • Data acquisition – determine the right data source or sources and collect data
  • Develop data set processes
  • Identify ways to improve data reliability, efficiency and quality
  • Conduct research in the industry to address any issues and business questions
  • Work with ETL tools to pull data from various sources, apply rules to the data according to business requirements, and load the transformed data into a database or business intelligence platform to be used and viewed
  • Work with analytics tools like Apache Spark, Tableau, and Knime; and have used these tools to identify patterns from stored data and generate business insights for all types of industries


  • Fluent in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools, and machine learning and algorithms like the random forest, decision tree, k-means, and other
  • Experience with the following suite of tools and technologies: 
    • Apache Spark, Spark ML and ML LIB, Spark SQL  
    • ERWIN 
    • ER/Studio 
    • Scikit-Learn, spaCy tools  
    • Esri ArcGIS 
    • SQL, Python, R Programming, Java, Scala 
    • Native DB modeling tools SQL DB Diagrams, MySQL Workbench 

For a Senior Data Engineer: 

  • Bachelor's degree in a technical discipline
  • 9+ years’ experience of database development in Defense or secured Government Installations

For a Journeyman Data Engineer: 

  • Bachelor's degree in a technical discipline
  • 2-5 years’ experience of database development in Defense or secured Government Installations

Desired Skills: 

  • Familiarity with PostgreSQL 
  • GIS skills and familiarity with Geospatial Data Abstraction Library (GDAL) and use of GDAL for manipulating geospatial data 
  • Experience in cloud-hosted infrastructure services 

Desired Certifications include:

  • AWS Cloud Certifications
  • AWS Solution Architect-Associate
  • AWS Database Specialty Certification

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 10-15 pounds at times.



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