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Chantilly

    Data Engineer SME - Chantilly, United States - Arcfield

    Arcfield
    Arcfield Chantilly, United States

    2 weeks ago

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    Description

    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 for more details.

    Responsibilities

    The Sponsor conducts technical analysis and provides guidance on projects from all disciplines to include assessments and consultations with various stakeholders and government entities. The Sponsor maintains technical project knowledge of all geographic areas and provides evaluations with regional project leads upon request. The Sponsor leverages technical knowledge combined with subject matter expertise to conduct these activitiesin support of its corporate office and stakeholders.

    The position consists of, but is not limited to the following:

    • Work closely with governance, technology, and other technical and specialized teams while being able to integrate, organize, and communicate large volumes of data.
    • Assess and validate the Internet systems requirements and solutions, and its characteristics across the Sponsor's organization.
    • Translate business requirements into technical solutions, develop evaluation CONOPS, coordinate customer and stakeholder meetings.
    • Assess and validate risk management controls, questionnaire, and lexicon across the Sponsor's organization.
    • Demonstrate understanding of Extract Transform and Load (ETL) pipelines and how they relate to data flow
    • Communicateeffectively across the Sponsor's organization.
    • Provide operations and maintenance (O&M) and content management support for Sponsor's risk management framework.
    • Develop data models, diagrams, flow charts, and other system engineering related documentation to solve problems, identify improvements, create standards, and facilitate cross-organizational collaboration.
    • Leverage multiple data management tools such as link analysis to organize relevant information and to make decisions.
    • Apply an agile approach to software development consistent with the Sponsor's project management and software development frameworks with a focus of demonstratingand delivering releasablesoftware.

    All personnel coming into the organization undergo an additional security review that can take anywhere from 7 business days to 30+ days.

    Qualifications

    • Must possess and be able to maintain a TS/SCI clearance with polygraph
    • Minimum of 15 years of experience and a bachelor's in computer science, engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
    • Experience with database and data warehouse technologies such as SQL Databases, NoSQL databases, and other storage options such as Hadoop or S3.
    • Demonstrated understanding for developing dashboards and interactive methods for uses to interact with the data.
    • Ability to maintain or obtain systems administration tasks such as DTO, SOPs, and accreditation.
    • Effective written and verbal communication skills.
    • Be a self-starter with leadership capabilities and execution of roles and responsibilities with little to no supervision.
    • Clearly communicate verbally and in writing technical analysis in briefing and in report format
    • Demonstrated experience assessing internet risks, impacts, and developing contingencies to mitigate them.
    • Demonstrated experience analyzing structure and unstructured data and streamlining business process, making customized algorithms and data modeling.
    • Demonstrated experience working with Docker, Kubernetes, and/or other virtualization software.
    • Demonstrated experience working with programming languages such as Java, Python and JavaScript.
    • Demonstratedexperiencewith graph database technologies.
    • Demonstratedexperience with building tolls for management of technical signatures.
    • Demonstrated experience with Cloud infrastructure in secure environments.
    • Demonstrated experiencedeveloping and implementing logical workflows for complex decision matrices.
    • Demonstrated experience completing various forms of communications for executive, technical, and mission audiences.
    • Demonstrated experience in making logical, fact-based informed decision about Internet technology solutions and their usage.
    • Demonstrated experience identifying technology opportunities and gaps in technical capabilities and processes.
    • Demonstratedexperiencewith time management and working on multiple initiatives.
    • Demonstrated experienceevaluating and developing strategies to solve complexsystem engineering challenges in cross-organizational environments.

    Skills and demonstrated experiences that are highly desired but not required to perform the work include:

    • Demonstrated experience with Agile frameworks.
    • Demonstrated experience with data visualization and link analysis.
    • Demonstrated experience with the Sponsor's regulations governing, or related to, the management of sub-compartmented programs.
    • Demonstrated experienceprocessing and integrating large amounts of information in an organized and comprehensive manner.
    • Demonstrated experience identifying and validating requirements from user stories and engagements.

    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.



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