Data Engineer (ETL) -TS/SCI w/ Poly

Clearance Level
Top Secret SCI + Polygraph
Systems Analysis
McLean, Virginia

REQ#: RQ118322

Travel Required: None
Public Trust: 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, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems. As a member of the team, candidates 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.

1.    Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
2.    15+ years of related software engineering and ETL experience
3.    Excellent organizational, coordination, interpersonal and team building skills
4.    Strong problem solving skills
5.    Team focused, willing to develop and implement solutions in a dispersed team environment

6. TS/SCI with Polygraph

1.    Experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, Ruby on Rails, HTML/XHTML, CSS, Python, Shell Scripting, JSON
2.    Knowledge of servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
3.    Experience building and maintain data flows in NiFi or Pentaho. 
4.    Ability to write technical documentation for security (ATO), architecture, and implementation guides
5.    Ability to comprehend database methodologies (strong SQL query and/or Elasticsearch experience)
6.    Data analytics skills, to include detailed data analysis and metric generation
7.    Experience with data visualization and data validation routines

1.    Research, design, develop and/or modifies enterprise-wide systems and/or application software.
2.    Develop complex data flows, or makes significant enhancements to existing pipelines.
3.    Resolves complex hardware/software compatibility and interface design considerations.
4.    Conducts investigations and tests of considerable complexity.
5.    Researches emerging technologies to determine impact on application execution.
6.    Provides input to staff involved in writing and updating technical documentation.
7.    Troubleshoots complex problems and provides customer support for the ETL process.
8.    Advises hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements.
9.    Prepares reports on analyses, findings, and project progress.
10.    Provides guidance and work leadership to less-experienced software engineers.


About Our Work

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.

COVID-19 Vaccination

GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.

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.