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, 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 CI/CD processes and containerization/docker

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:

2+ years of related software engineering and ETL experience

Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 5 years job-related experience

Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java

Excellent organizational, coordination, interpersonal and team building skills

TS/SCI with SCI Poly clearance

Location: At Customer Site – near Tyson Corner

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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