Data Engineer - TS/SCI w/Polygraph

The Data Engineer Team Lead will provide technical leadership towards prioritizing and completing tasks for a small data engineer team in a highly mission centric atmosphere. The data engineer will also 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 team leadership 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:

• 10+ years of related software engineering and ETL experience

• Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 15 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 Tysons 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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