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Data Engineer

Location Camarillo, California Category Engineering, Technology, & Science Job Type Full time Job Id R2108801 Posted Date 07/14/2025
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JOB DESCRIPTION

Title:

Data Engineer

Belong. Connect. Grow. with KBR!


The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on BD and KM systems supporting DoD Test Ranges and various acquisition programs. The successful candidate will work with the data science team to support our customers with insights gained from analyzing DoD Test & Evaluation data. The ideal candidate is adept at collaborating with technical and non-technical stakeholders to identify analytic requirements and analysis questions that can be informed through the aggregation and analysis of large data sets collected during test events or exercises. The candidate should be skilled at identifying opportunities for process or workflow optimization and have experience performing ETL within DoD. The candidate should have experience using a variety of methods and models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining and data analysis methods, accessing data stored in a variety of data storage paradigms, developing models using common statistical and machine learning modeling approaches, using and creating custom algorithms, implementing data preparation and analysis workflows in Python or R, and contributing to reports and documentation. They must have a proven ability to contribute to analysis to drive decisions and the development of successful communication products. They must be comfortable working with a wide range of stakeholders and functional teams. Candidates should have a passion for discovering insights hidden in large data sets and working with stakeholders to improve business outcomes through the delivery of high-quality products. The successful candidate will have extensive technical expertise in methods of computer science and the use and configuration of modern data architecture and analytic environments, experience working on Department of Defense problems, and excellent communication skills.

Why Join Us?

  • Innovative Projects: Work on cutting-edge technologies and projects that directly support our national security objectives.
  • Collaborative Environment: Join a dynamic team where collaboration and innovation are at the heart of our workplace culture.
  • Impactful Work: Play a key role in projects that make a real difference in both our company and the broader national security field.

Key Responsibilities:

  • 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 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.
  • When supporting sites, you will be the face of the CHEETAS Team and will be responsible for ensuring stakeholders have the analytical tools, data products and reports they need to make insightful recommendations based on your data driven analysis. 
  • You will be directly assisting both analyst / technical and non-analyst / non-technical stakeholders with the analysis of DoD datasets and demonstrating the 'art of the possible' to the stakeholders and VIPs with insights gained from your analysis of DoD Test and Evaluation (T&E) data. 
  • As such this position requires the ability to effectively communicate at both a programmatic and technical level. 
  • Although you potentially may be the only team member physically on-site supporting you will not be alone. 
  • You will have support from other data science team members as well as the software engineering and system administration teams. 
  • While onsite, you will be responsible for running and operating CHEETAS (and other tools); demonstrating these tools to stakeholders & VIPs; conveying analysis results; adapting internally-developed tools, notebooks and reports to meet emerging needs; gathering use cases, requirements, gaps and needs from stakeholders and for larger development items providing that information as feature requests or bug reports to the CHEETAS development team; and performing impromptu hands-on training sessions with end users and potentially troubleshooting problems from within closed networks without internet access (with support from distributed team members). 
  • Successful candidates must be self-motivated and capable of working independently with little supervision / direct tasking. 
  • Data Engineers with 10+ years of DoD experience are welcome to apply however our preference is for candidates with 15+ years of DoD experience.  Entry level candidates will not be considered at this time. 
  • Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how analysis is performed across the entire Department of Defense!

Work Environment:

  • Location: On-Site - Point Mugu Naval Base - When not supporting a site, this position can work remotely or from a nearby KBR office (if available and desired). 
  • Travel Requirements: 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).
  • Working Hours: Standard

Qualifications:

Required:

  • Active or current Secret Clearance required.
  • This position requires a degree in operations research, engineering, applied math, statistics, computer science or information technology. 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 is 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 architecture, 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.

Desired:

  • Top Secret Security Clearance.
  • 15+ years of experience within DoD. 

Ready to Make a Difference?
If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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