Data Engineer - TS/SCI w/Poly

Discover a career that is challenging, impactful, and mission-critical. Join our team as a Data Engineer and make an impact on customer activities. While you help us advance the mission, we’ll help advance your career.

We are GDIT. We stay at the forefront of innovation to solve complex technical challenges. 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.  Our Team leverages the power of data, analytics, master metadata, and cognitive technologies to uncover hidden relationships from vast troves of data, generates insights, and informs decision-making. As a Data Engineer, you will be part of a team responsible for transforming the customers’ data ecosystem with differentiated strategies that keep them mission focused and mission informed. 

HOW A DATA ENGINEER 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

• Provide guidance and work leadership to less-experienced engineers

• May serve as a technical team or task leader

WHAT YOU'LL NEED TO SUCCEED

• Position requires an active TS/SCI with Polygraph

• Requires three (3+) 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 QUALIFICATIONS

• 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

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

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