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

GCI, embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and 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/Cloud Engineer, a typical day will include the following duties:

JOB DESCRIPTION

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, data extraction, analytical support, operational support, database support, and maintenance support 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, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.  This data engineer ideally should also be familiar with cloud technology, processes, and services.  His or her capability to convert or migrate on-premises data processing to cloud environments will prove key. 

 

QUALIFICATIONS

• Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• At least eight (8) years of related experience 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 Oracle databases. Understanding of other datastores will be potentially helpful.

 

DESIRED KNOWLEDGE/SKILLS

• Familiarization executing jobs in Big Data Technologies (i.e., Hadoop or Spark).
• Experience with any of the following languages: Java/J2EE, C#, SQL, XML, XQuery, XPath, Python, Shell Scripting, JSON. Familiarity with .net environments would also prove helpful.
• Knowledge of servers operating systems; Windows, Linux, Distributed Computing, and cloud infrastructure.
• Strong problem-solving skills.
• 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 modifies enterprise-wide systems and/or application software.
• Develop complex data flows, or makes significant enhancements to existing pipelines.
• Resolves complex hardware/software compatibility and interface design considerations.
• Conducts investigations and tests of considerable complexity.
• Provides input to staff involved in writing and updating technical documentation.
• Troubleshoots complex problems and provides customer support for the ETL process.
• Prepares reports on analyses, findings, and project progress.
• Provides guidance and work leadership to less-experienced software engineers.

 

Salary Range: $116,979.20 to $195,374.40