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    Data Engineer - Nashville, United States - National Aerospace Solutions, LLC

    National Aerospace Solutions, LLC
    National Aerospace Solutions, LLC Nashville, United States

    1 week ago

    Default job background
    Description

    Title:
    Data Engineer- 3338A


    Function:
    Business Operations


    Position Type:
    Regular, Full-Time


    Pay Type:
    Exempt

    Grade: 33-35

    US Citizenship Required

    This opportunity is being offered by National Aerospace Solutions, the team selected by the U.S.

    Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC), Arnold Air Force Base, Tennessee.

    National Aerospace Solutions is a limited liability company comprised of Bechtel National Inc. (as lead company) and Sierra Lobo Inc. with teaming Subcontractors nLogic Inc. and Chugach Federal Solutions Inc.


    AEDC operates more than55aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states.

    Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world.

    AEDC is one of three installations which are part of theAir Force Test Center(AFTC), one of six subordinate commands of theAir Force Materiel Commandorganization and an important national resource.

    AEDC's mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, ground, and flight test.

    Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.


    Job Summary:


    This job is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities.

    The successful candidate will work as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems .


    The person selected for this role will work closely with multidisciplinary work teams throughout the NAS organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.


    Job Duties:
    Design, development, sustainment, and deployment of complex Government data engineering solutions


    Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.

    Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

    Utilize machine learning tools to select features, create, and optimize classifiers.


    Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.

    Perform development

    lifecycle aspects that includes requirements documentation, design documentation, configuration management, testing, implementation plans,

    etc.

    Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.


    Utilize applicable experience in "big data," analytics, algorithmic, custom data models, algorithms and/or machine learning approaches to help extract data that will help drive engineering decisions.

    Coordinate with different multidisciplinary teams to implement models and monitor outcomes.

    Define & develop processes and tools to monitor and analyze model performance and data accuracy.


    Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.


    It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.

    Performs other related duties as required.


    Basic Qualifications:
    B.S. in Computer Science

    , Statistics, Mathematics, Engineering, or another relevant engineering field from an accredited university program plus a minimum of 1 to 4 years of progressive and relevant experience

    Current U.S. Citizenship is required.

    Preferred Qualifications

    Experience with development lifecycle methodologies such as Agile DevSecOps

    Experience with data scripting language software like Python, Java, C++, or Ruby and SQL.

    Experience with data extraction tools and processes, data ingestion, ETL, data mining, API's, and data warehousing

    Experience in developing and implementing data management solutions.

    Demonstrated experience in a data engineering role.

    Experience working with and creating data architectures and data models.

    Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.

    Coding knowledge and experience with multiple languages

    Due to Air Force Security requirements, U.S. Citizenship is required for employment at AEDC.

    NAS is an Equal Opportunity Employer of Minority/Women/Veterans/Disabled (AA/EOE).

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, pregnancy, physical or mental disability, citizenship, genetic information, protected veteran status or any other characteristic protected by federal, state or local law.

    Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to

    . PLEASE DO NOT SUBMIT RESUMES to this address as they will not be considered for employment opportunities.

    #J-18808-Ljbffr
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