Data Engineer (ETL) -TS/SCI w/Poly

Key Skills

HTML, JavaScript, Java Programming, Analytical and Problem solving, Oracle, CSS, Python Programming, C++, C Programming, SQL, Agile methodologies, Machine learning techniques, Data science techniques, Jenkins, Keras software library, TensorFlow, Elasticsearch, J2EE, MySQL, Shell Scripting language, Linux Operating system, Github, ETL frameworks, VR/AR frameworks

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, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems. As a member of the team, candidates 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.

REQUIRED KNOWLEDGE/SKILLS

• TS/SCI with Polygraph
• 15 years of related experience
• 8 or more 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 KNOWLEDGE/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

KEY RESPONSIBILITIES

• 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