Data Engineer

3 months ago


McLean, United States Leading Path Full time

 

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)

 

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)


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

 


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