Software Engineer

Springfield, VA
Posted 11 months ago

Perform complex analysis, design, development, testing, and debugging of computer software in support of distinct product hardware or technical service lines of businesses. Perform activities ranging from software design, operating architecture integration, and selection of computer systems. Apply knowledge of one or more systems, extensive knowledge of one or more platforms, and of programming languages. Assist with training less experienced software engineer staff.


Basic Qualifications:

  • 5+ years of experience in a professional software development role
  • Experience with multiple operating systems, including UNIX, Linux, and Windows and various intelligence fields data and tools, including GEOINT, HUMINT, MASINT, OSlNT, and SIGINT
  • Experience with advanced SQL query writing, data retrieval, and data mining from relational databases, including Oracle, PL/SQL, MySQL, Postgres, and Microsoft SQL Server, such as T-SQL
  • Experience with Extract, Transform, and Load (ETL) processes, including document parsing techniques and managing large data sets, such as multi-TB scale
  • Experience with Multi-threaded, Big Data, and distributive Cloud architectures and frameworks, including Hadoop, MapReduce, Cloudera, Hive, Spark, and Elastic Search for Big Data analytics
  • Experience with developing software in the GIS context, including ESRI Development Environment and Python standards and processing
  • Knowledge of NoSQL databases, including Titan, Mongo, Cassandra, and HBase and one or more of the following programming languages: C#, Java, .NET, Python, Perl, or Ruby
  • Knowledge of Web services environments, languages, and formats, including RESTful APIs, HTML, JavaScript, XML, KML, SOAP, and JSON
  • TS/SCI clearance
  • BS degree in CS, Statistics, Mathematics, or Engineering


Additional Qualifications:

  • Experience with graphical user interface and data visualization tools and protocols, including HTML 4, CSS, Tableau, and Adobe Creative Suite 5
  • Experience with supporting sensor testing and evaluation
  • Experience with using data transfer and cross domain systems, including NIFI
  • Knowledge of text processing, including Natural Language Processing (NLP), Named Entity Recognition (NER), entity retrieval, such as SOLR or Lucene, topic extraction, summarization, and clustering
  • Knowledge of machine learning, data mining, and knowledge discovery
  • Knowledge of container solutions, including Docker and their configuration and implementation best practices
  • Knowledge of mobile OS and app languages, including HTMLS, Android, iOS, Swift, Objective C, and C#
  • Knowledge of model-based data retrieval systems, including JEMA
  • Agile Development, ITIL, or related Certifications



  • TS/SCI clearance is required

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