KBR, Inc.-posted 4 months ago
Senior
Niceville, FL
5,001-10,000 employees

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. As a Data Engineer, you will be a critical part of the team that is responsible for enabling the development of data-driven decision analysis products through the innovative application, and promotion, of novel methods from data science, machine learning, and operations research in order to provide robust and flexible testing and evaluation capabilities to support DoD modernization. You will be part of a technical team responsible for providing analytic consulting services, supporting analytic workflow and product development and testing, promoting the user adoption of methods and best practices from data science, conducting applied methods projects, and supporting the creation of analysis-ready data.

  • Enable the development of data-driven decision analysis products.
  • Provide analytic consulting services and support analytic workflow.
  • Promote user adoption of methods and best practices from data science.
  • Conduct applied methods projects and support the creation of analysis-ready data.
  • Assist both analyst/technical and non-analyst/non-technical stakeholders with analysis of DoD datasets.
  • Demonstrate tools to stakeholders and VIPs.
  • Gather use cases, requirements, gaps, and needs from stakeholders.
  • Provide feature requests or bug reports to the CHEETAS development team.
  • Perform hands-on training sessions with end users.
  • Troubleshoot problems from within closed networks.
  • Active or current TS/SCI Clearance.
  • Degree in operations research, engineering, applied math, statistics, computer science or information technology.
  • Preferred 15+ years of experience within DoD.
  • Five (5) years of hands-on experience in big data analytics.
  • Five (5) years of hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala).
  • Experience with DoD specific data types.
  • Competency in software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling.
  • Proven analytical skills and experience in preparing and handling large volumes of data for ETL processes.
  • Experience in installation, configuration, and use of big data infrastructure (e.g., Spark, Trino, Hadoop, Hive).
  • Experience using scripting languages (Python and R) for data processing and visualization.
  • Experience with interactive visualization tools (RShiny, pyShiny, Dash).
  • Experience generating and presenting reports and visualizations to customers.
  • Experience cleaning and preparing time series and geospatial data for analysis.
  • Knowledge of message queuing, stream processing, and extracting value from large disparate datasets.
  • Diverse and inclusive work environment.
  • Opportunities for professional growth and development.
  • Commitment to sustainability and ethical practices.
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