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Cap In Jobs in Virginia (NOW HIRING)

IC-CAP LLC

Senior Systems Engineer 112-195

Springfield, VA · On-site

$109K - $149K/yr

... in project management or technical team leadership Security Clearance : * Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed IC-CAP provides equal employment ...

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Cap In information

What is the difference between Cap In vs Data Entry Clerk?

AspectCap InData Entry Clerk
Required CredentialsHigh school diploma, basic computer skillsHigh school diploma, proficiency in data management software
Work EnvironmentOffice settings, data processing centersOffice environments, remote or on-site
Industry UsageFinance, healthcare, logisticsVarious industries including retail, healthcare, finance
Common Search IntentUnderstanding data input roles, job requirementsData entry tasks, job descriptions

Cap In and Data Entry Clerk roles both involve data processing, but Cap In typically refers to specific data input tasks within certain industries, often requiring basic computer skills and office work. Data Entry Clerks have a broader scope, often handling larger volumes of data across various sectors. While similar, Cap In roles may focus more on specialized data input processes, whereas Data Entry Clerks perform general data management tasks.

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What job categories do people searching Cap In jobs in Virginia look for? The top searched job categories for Cap In jobs in Virginia are:
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Infographic showing various Cap In job openings in Virginia as of June 2026, with employment types broken down into 35% Full Time, and 65% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

System Engineer Mid-Level 100-003 with Security Clearance

IC-CAP

Springfield, VA • On-site

Other

Re-posted 20 days ago

Job description

IC-CAP is seeking a motivated product quality System Engineer to support the planning, test development, data definition, and task execution for new and existing products within the National System for Geospatial-Intelligence (NSG). The candidate will need to write clear test plans to satisfy the test objective. They will work with a team of image scientists, image analysts, photogrammetrists, and statisticians to perform specific tasks, track issues, and clearly communicate status and results to multiple stakeholders. The mission spans many data providers and sensor phenomenology's including electrical-optical, RADAR, LIDAR, OPIR, motion, multi- and hyper-spectral. We work to verify and validate product visual quality, as well as the accuracy of the support data. The qualified candidate should have experience with test design to verify and validate products against requirements to meet planned concept of operations. The ideal candidate will have image science or imagery analysis experience or knowledge ready to apply to the challenges of the group. Good written and verbal communication and teamwork are critical. Experience and Education Required: * Bachelor of Science (BS) degree in System Engineering, Electrical Engineering, Physics, Software Engineering, or a related Science or Engineering * 5+ years of experience as a system engineer to include independent testing and data verification, requirements, and development of concept of operations. * Experience with sensor imaging systems, products, and exploitation processes * Strong written and oral communication skills, with emphasis on briefing to obtain decisions and solve technical issues and test plans/reports writing * Ability to work independently as well as part of a team * Willingness to learn, solve problems and perform in a dynamic work environment Preferred Skillset: * Experience in remote sensing phenomenologies (for example EO/IR/SAR) * Knowledge of NSG tasking, collection, processing, exploitation and dissemination (TCPED) image chain * Experience with product quality assessments, visual or metadata assessments Security Clearance: * Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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