Job Description :
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.
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 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
REQUIRED TECHNICAL 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
WHAT YOU’LL NEED TO SUCCEED :
5+ years of related software engineering and ETL experience
Bachelor’s or Technology degree in Engineering or a related specialized area / field, OR equivalent 8+ years job-related experience OR Master's degree with 5+ years of job-related experience.
TS / SCI with SCI Poly clearance
Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java
Excellent organizational, coordination, interpersonal and team building skills
Location : At Customer Site near Tyson Corner
US Citizenship Required
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
OpportunityOwned
GDITCareers
WeAreGDIT
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The likely salary range for this position is $106,250 - $143,750. This is not, however, a guarantee of compensation or salary.
Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours :
Travel Required : None
None
T elecommuting Options :
Onsite
Work Location : USA VA McLean
USA VA McLean
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