Overview

Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nation’s most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details.

Responsibilities

The Data Engineer will support the Sponsor's organization with leveraging best practices to implement means to efficiently create, organize, process, store, and utilize data collected from multiple sources. Responsibilities include, but are not limited to:

• Provide technical expertise in the use of various data applications, tools, and services
• Evaluate and recommend available data management tools, services, and products to support validated user and/or system requirements
• Refining (and potentially re-defining) existing requirements
• Define File organization, indexing methods, and security procedures for specific user applications
• Plan and coordinate security measures - data integrity, backup systems, and database security

Qualifications

• Must possess and be able to maintain a TS/SCI clearance with a Poly
• Experience with data modeling and ETL development (data processing automation)
• Experience with Java, Python
• Experience with data flow (health & status monitoring and metrics)
• Experience with Amazon Web Services (AWS) and AWS tool suite that optimizes the managing of data flow
• Able to implement solutions and critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
• Experience with successful full life-cycle software development projects
• Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices
• Bachelor's degree or equivalent experience in a relevant field
• Minimum of 10 years' experience 
• BS 10-12, MS 8-10, PhD 5-7

Desired:

• Experience with Apache NiFi, Machine Learning (ML), Interactive Data Language (IDL)
• Experience with Sponsor's OSN

EEO Statement

EEO

Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.