Fuse Engineering

  • Data Architect (EVR)

    Job Locations US-VA
    Job ID
    Information Technology
  • Overview

    Mandatory Skills and Knowledge:

    •  acquiring, processing, and refining large or complex data sets from various sources utilizing computer programming where necessary.
    • Analyze, evaluate, and assess quantitative data using statistical software (computer models, geospatial models, software languages, mathematical models) to contribute to or develop software tools, analytic models, or report.
    • Anticipate and project a wide range of possible outcomes using scenario/alternative analyses, machine learning or other advanced analytic techniques.
    • Demonstrated experience developing new data workflow and approaches using Pentaho and custom scripting to handle high volume, heterogeneous data used to identify patterns, correlations, trends, and relationships.
    • Experience in data science methodology to integrate systems engineering and data science techniques.
    • Demonstrated experience with data architecture, data modeling, database design, and data systems implementation especially with Oracle-based technologies such as MySQL, NoSQL technologies like ElasticSearch, and distributed systems like Hadoop, or HPCC.
    • Demonstrated experience in data analysis of structured and unstructured data, including financial, web, event and travel data.
    • Demonstrated experience with two or more: XML, JSON, SQlLte databases, PCAP.
    • Demonstrated experience in developing customer data visualizations using COTS products like Tableau or Kiabana.


    Tasks and Responsibilities:

    • Determine and emply the most appropriate research design for data collection and analysis
    • Acquire, process, and refine large and complex data sets from various sources; utilizing computer programming where necesary
    • Analyze, evaluate and assess quantitative data to contribute to or develop software tools, analytic models, or reports
    • Conduct statistical, mathematical, geospatial modeling or data-mining analysis in partnership with other Data Scientists or Analysts
    • Anticipate or project possible outcomes using scenario/alternative analysis, machine learning, and other advanced analytic techniques.
    • Identify, use and/or develop a wide range of methodologies and analytic tools to address existing or potential problens and strategies

    Desired Skills:

    • Demonstrated knowledge working independently to formulate and execute project plans, leading teams of data engineer and analysts, providing training on the use of new tools, technologies and data sets
    • Demonstrated experience manipulating and deriving actionable information from large data sets
    • Demonstrated knowledge with development in a Unix/Linux environment, bash scripting, deploying code, using servers and virtual machines
    • Experience in coding languages such as Python, Java, ECL, SQL, JavaScript, or C.
    • Experience with bulk analysis of systems log data, COTS, and custom-developed Natual Language Processing, text analytics, content analysis tools, algorithms as well as devloping or implementing machine learning, statistical analysis, and NLP techniques


    A TS/SCI security clearance with polygraph.


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