Data Engineer (ETL) (TS/SCI with Poly Required)

GCI embodies excellence, integrity, and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leveraging the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics, Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As a Data Engineer (ETL), a typical day will include the following duties:

The Data Engineer will manipulate data and data flows for both existing and new systems. A successful data engineer will provide support in the areas of data extraction, transformation, and load (ETL), data mapping, analytical, operational, database support, and maintenance of data and associated systems. As a member of the team, a successful data engineer will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, file manipulation, data modeling, testing, quality assurance, and documentation preparation.

Qualifications:

• Bachelor’s Degree in Computer Science, Electrical or Computer Engineering, or a related technical discipline; or equivalent combination of education, technical training, or work/military experience.
• At least five (5) years of related data engineering and ETL experience.

Required Knowledge/Skills:

• Experience building and maintaining data flows in NiFi, Pentaho, or Spark.
• Excellent organizational, coordination, interpersonal, and team-building skills.
• Familiarization with NoSQL datastores.

Desired Knowledge/Skills:

• Familiarization with executing jobs in Big Data Technologies (e.g., Hadoop or Spark).
• Experience with languages including Java/J2EE, SQL, XML, XQuery, XPath, Python, Shell Scripting, and JSON.
• Knowledge of server operating systems: Windows, Linux, Distributed Computing, and cloud infrastructure.
• Strong problem-solving skills and ability to comprehend database methodologies.
• Focus on continual process improvement with a proactive approach to problem solving.
• Ability to follow directions and finish tasks.

Key Responsibilities:

• Research, design, develop and/or modify enterprise-wide systems and application software.
• Develop complex data flows, or significantly enhance existing pipelines.
• Resolve complex hardware/software compatibility and interface design considerations.
• Conduct investigations and tests of considerable complexity.
• Provide input to staff involved in writing and updating technical documentation.
• Troubleshoot complex problems and provide customer support for the ETL process.
• Prepare reports on analyses, findings, and project progress.
• Provide guidance and work leadership to less-experienced software engineers.

A candidate must be a US Citizen and possess an active/current TS/SCI with Polygraph clearance.