Data Engineer Senior (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 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, a typical day will include the following duties:

JOB DESCRIPTION

The Data Engineer will use an array of skills to interface with end-users and the Development team.  An ideal candidate will have significant data engineering technical capabilities, as well as intelligence analysis skills (analytical methodology and practice; writing and production; briefing; and identification of knowledge gaps, etc.).  A successful data engineer must be able to coordinate with multiple customer partners, excel at individual projects and contribute to joint efforts with minimal supervision

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 five (5) years of related experience in data engineering, technical analysis, technical targeting, or a similar relevant technical discipline
• Hands-on experience using commercially available data exploitation and visualization tools for analysis (e.g., MS Excel, Tableau, Wireshark, X-Ways, Encase)

REQUIRED KNOWLEDGE/SKILLS

Demonstrated experience in a combination of the following:

• Familiarity with scripting or programming with Linux, Python, or any other language
• Experience analyzing both large and small datasets to identify trends and patterns
• Experience producing informational, contextual, and/or intelligence products that embody and explain findings for a variety of audiences
• Familiarity with field HUMINT, cyber collection with in-depth knowledge of national intelligence Agencies
• Skilled with writing intelligence products
• Ability to translate and communicate analyst/targeter end-user requirements to developers providing system upgrades, features, and added data value
• Strong briefing and writing (verbal and written) skills

DESIRED KNOWLEDGE/SKILLS

• Knowledge of computing processing platforms (e.g., computers, mobile, I.O.T.)
• Knowledge of mobile technologies to include cellular networks (WiFi, Bluetooth, etc.)

KEY RESPONSIBILITIES

• Represent “super-users” for ongoing system development efforts
• Collaborate cross-functionally with data scientists, analysts, project managers, and other engineers
• Provide recommendations for continuous improvement
• Proactively identify and communicate risks and opportunities for improvement in testing or other processes
• Contribute to data calls and special projects (as needed)