• Location: Chantilly
  • Type: Contract
  • Job #1967

Title: Big Data ETL Engineer

Location: Chantilly, VA

*Clearance: *Active TS/SCI w/ Polygraph needed to apply *

 

Company Overview:

Cornerstone Defense, in partnership with our military, intelligence, and civil government customers, supports U.S. operations worldwide through the use of many different types of intelligence, satellite, and cyber technologies. Cornerstone’s Intelligence Sector provides solutions to the United States Government for information collection, operations, exploitation and dissemination, and research activities. Our Team specializes in software development, cloud architecture, systems and network engineering, systems integration, agile management, as well as targeting operations and intelligence analysis. Our support to our mission customers includes cyber network operations, exploitation and defense, signals intelligence, human intelligence, and critical missions and networks.

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We are looking for a Principal Big Data / ETL Engineer to work in the Chantilly, Virginia area. Exciting areas of responsibilities will include:

  • Big Data Extract, Transform, Load (ETL) engineering and development
  • Natural Language Processing (NLP)
  • Metadata tagging and link analysis

Duties:

  • Apply technical skills and experience in working with structured and unstructured data for ingest into a variety of applications.
  • Monitor data loads and fix errors during the load process and perform quality control on ingested data.
  • Write/edit and test macros, scripts, parsers, and small programs to process, load or analyze data, and perform configuration management before entering into production baseline.
  • Provide daily logs and statistics, and output from utility tools, as well as track and provide daily, weekly, monthly and yearly reports and statistics/metrics, and support COOP and emergency response activities.
  • Ability to work under general direction, and independently determines approaches and develops innovative solutions to improve efficiency and quality of data loads.

Basic Qualifications:

  • Bachelor’s Degree in an IT-related field with a minimum of 3 years of data processing experience.  Note: In lieu of a degree, an additional 5 years of related experience may be substituted
  • Experience working with structured and unstructured data  
  • Experience with at least one programming language (Python preferred)
  • Demonstrated experience with computer file management in Windows and UNIX/Linux environment
  • Active TS/SCI with polygraph clearance.

Preferred Qualifications:

  • Bachelor’s Degree in Computer Science, Data Science, Information Technology, Data Engineering
  • Big Data or ETL experience
  • Natural Language Processing (NLP)
  • Metadata tagging and link analysis
  • Experience with script and/or parser development to extract structured and unstructured data from files
  • Growing interest in natural language processing and machine learning
  • Experience in the Intelligence Community
  • Experience working in a Customer Facility
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