Data Engineer - TS/SCI w/Polygraph

Responsibilities for this Position

Location: USA VA McLean - Customer Proprietary (VAC036)
Full Part/Time: Full time
Job Req: RQ184089

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Suitability:
Public Trust/Other Required:
None

Job Family:
Data Science

Job Qualifications:
Skills:
Communication, ETL, Mission Critical, Teamwork
Certifications:
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:
Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats.

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, the 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.

HOW A DATA ENGINEER ETL WILL MAKE AN IMPACT:

• 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 make 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.

WHAT YOU'LL NEED TO SUCCEED:

• The position requires TS/SCI with Polygraph security clearance.
• Bachelor's or Technology degree in Engineering OR a related specialized area/field, OR equivalent eight (8+) years job-related experience OR Master's degree with five (5+) years of job-related experience.
• The position requires five (5+) years of related software engineering and ETL experience.
• 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.
• Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java.
• Excellent organizational, coordination, interpersonal and team building skills.
• The position is on customer site.

GDIT IS YOUR PLACE:

• 401K with company match.
• Comprehensive health and wellness packages.
• Internal mobility team dedicated to helping you own your career.
• Professional growth opportunities including paid education and certifications.
• Cutting-edge technology you can learn from.
• Rest and recharge with paid vacation and holidays.

Scheduled Weekly Hours:
40
Travel Required:
None
Telecommuting Options:
Onsite
Work Location:
USA VA McLean

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. #J-18808-Ljbffr