KBR, Inc.-posted 4 months ago
Senior
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.
  • Support analytic workflow and product development and testing.
  • Promote user adoption of methods and best practices from data science.
  • Conduct applied methods projects.
  • 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 & VIPs.
  • Convey analysis results and adapt tools to meet emerging needs.
  • 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.
  • US Citizens only.
  • Active or current Secret Clearance required - Top Secret Clearance preferred.
  • Degree in operations research, engineering, applied math, statistics, computer science or information technology.
  • 15+ years of experience within DoD preferred; 10-15 years considered on a case-by-case basis.
  • 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 working with teams in the development and interpretation of analytic products 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 the installation, configuration, and use of big data infrastructure (e.g., Spark, Trino, Hadoop, Hive).
  • Experience using scripting languages (Python and R) to process, analyze and visualize data.
  • Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable products.
  • Experience using interactive visualization tools (RShiny, pyShiny, Dash).
  • Experience generating and presenting reports, visualizations and findings to customers.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience cleaning and preparing time series and geospatial data for analysis.
  • Experience working with Windows, Linux, and containers.
  • Experience querying databases using SQL.
  • Diverse and inclusive work environment.
  • Opportunities for professional growth and development.
  • Supportive and collaborative team culture.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service