Data Engineer ETL SME; TS/SCI with Poly Required

Clearance Level
Top Secret SCI + Polygraph
Category
Software Engineering
Location
McLean, Virginia

REQ#: RQ93824

Travel Required: None
Requisition Type: Regular

The Data Engineer will manipulate data and data flows for both existing and new systems. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.

QUALIFICATIONS

  • Bachelor’s degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience

REQUIRED KNOWLEDGE/SKILLS

  • 8 or more years of related software engineering and ETL experience
  • Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java
  • Excellent organizational, coordination, interpersonal and team building skills

DESIRED KNOWLEDGE/SKILLS

  • Demonstrated experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript
  • Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes
  • Demonstrated experience with relational databases (ex - Oracle / MySql)
  • Demonstrated experience with GPU processing
  • Demonstrated experience with search architecture and data visualization tools (ex -  ElasticSearch, OmniSci)
  • Demonstrated experience applying machine learning methodologies to build high-quality prediction models
  • Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
  • Familiar with database methodologies
  • Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)
  • Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano
  • Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

KEY RESPONSIBILITIES

  • Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems
  • Develop and manage complex data flows, or makes significant enhancements to existing pipelines
  • Troubleshoot complex problems and provide customer support for the ETL process
  • Resolve complex hardware/software compatibility and interface design considerations
  • Conduct investigations and tests of considerable complexity
  • Research emerging technologies to determine impact on application execution
  • Communicate clearly and effectively with teammates, customers, and external partners
  • Prepare written and verbal communications on analyses, findings, and project progress
  • Write and maintain technical documentation
  • Advise hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements
  • Provide guidance and work leadership to less-experienced engineers
  • May serve as a technical team or task leader
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.