KBR, Inc.

Data Engineer

KBR, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida, Hawaii

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Job Level

SeniorLead

Tech Stack

Cyber SecurityETLHadoopHBaseJavaLinuxMongoDBMS SQL ServerNeo4jPythonScalaSparkSQLTypeScriptVMware

About the role

  • KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to customers in the intelligence and national security communities. Enable development of data-driven decision analysis products through novel methods from data science, machine learning, and operations research to support DoD modernization. Provide analytic consulting services, support analytic workflow and product development and testing, promote user adoption of methods and best practices from data science. Support creation of analysis-ready data and provide analytic support at sites, acting as the face of the CHEETAS Team. Run and operate CHEETAS and other tools; demonstrate tools to stakeholders & VIPs; convey analysis results; adapt tools, notebooks and reports to meet emerging needs. Gather use cases, requirements, gaps and needs from stakeholders and provide feature requests or bug reports to the CHEETAS development team. Perform impromptu hands-on training sessions with end users and troubleshoot problems within closed networks without internet access with remote support. Work with software engineering and system administration teams; design and optimize defense systems and analytic products for DoD Test and Evaluation (T&E) data. Communicate effectively at programmatic and technical levels with analyst and non-analyst stakeholders.

Requirements

  • Active or current TS/SCI Clearance is required This position requires a degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 15+ years of experience within DoD. Candidates with 10-15 years of DoD experience will be considered on a case-by-case basis. Entry level candidates will not be considered. Previous experience must include five (5) years of hands-on experience in big data analytics. Previous experience must include five (5) years of hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala, etc.). Previous experience should include working with teams in the development and interpretation the results of analytic products with DoD specific data types. Previous experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to inform technical choices and infrastructure configuration. 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 (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare as examples). Experience in dealing with imperfections in data. Experience in implementing Data Visualization solutions. 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) to create interactive analytics. 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 and working with and configuring distributed storage and computing environments to conduct analysis (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase as examples). Experience working with code repositories in a collaborative team. Ability to make insightful recommendations based on data driven analysis and customer interactions. Ability to effectively communicate both orally and in writing with customers and teammates. Ability to speak and present findings in front of large technical and non-technical groups. Ability to create documentation and repeatable procedures to enable reproducible research. Ability to create training and educational content for novice end users on the use of tools and novel analytic methods. Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required. Should be self-motivated to design, develop, enhance, reengineer or integrate software applications to improve the quality of data outputs available for end users. Ability to work closely with data scientists to develop and subsequently implement the best technical design and approach for new analytical products. Strong analytical skills related to working with both structured and unstructured datasets. Excellent programming, testing, debugging, and problem-solving skills. Experience designing, building, and maintaining both new and existing data systems and solutions Understanding of ETL processes, how they function and experience implementing ETL processes required. Knowledge of message queuing, stream processing and extracting value from large disparate datasets. Knowledge of software design patterns and Agile Development methodologies is required. Knowledge of methods from operations research, statistical and machine learning, data science, and computer science sufficient to select appropriate methods to enable data preparation and computing architecture configuration to implement these approaches. Knowledge of computer programming concepts, data structures and storage architectures, to include relational and non-relational databases, distributed computing frameworks, and modeling and simulation experimentation sufficient to select appropriate methods to enable data preparation and computing architecture configuration to implement these approaches. Data Engineers with 10+ years of DoD experience are welcome to apply however our preference is for candidates with 15+ years of DoD experience. This position will require travel of 25% with potential surge to 50% to support end users located at various DoD ranges & labs located across the US (including Alaska and Hawaii).