KBR, Inc.
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Data Engineer
role at
KBR, Inc. Belong. Connect. Grow. with KBR! Overview
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. Why Join Us
Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Role and scope: As a Data Engineer, you will be a critical part of the team enabling data-driven decision analysis products through applying and promoting novel methods from data science, machine learning, and operations research to provide robust testing and evaluation capabilities to support DoD modernization. Team engagement: You will support analytic workflow and product development, promote best practices from data science, conduct applied methods projects, and support creation of analysis-ready data. On-site responsibilities: When supporting at sites, you will be the face of the CHEETAS Team, ensuring stakeholders have analytical tools, data products and reports to make informed recommendations based on your data-driven analysis. Stakeholder communication: You will assist both analyst/technical and non-analyst/non-technical stakeholders with the analysis of DoD datasets and demonstrate insights gained from DoD Test and Evaluation data. Collaboration and support: You will have reach-back support from other data science team members as well as software engineering and system administration teams. On-site tools and training: While onsite, you will run and operate CHEETAS (and other tools); demonstrate tools to stakeholders and VIPs; adapt tools, notebooks and reports to emerging needs; gather requirements; report feature requests or bugs; and conduct hands-on training with end users, including troubleshooting in closed networks without internet access with team support. Independence and motivation: Successful candidates must be self-motivated and capable of working independently with minimal supervision. Experience expectations: Data Engineers with 10+ years of DoD experience are welcome, with a preference for 15+ years. Travel: This position will require travel of 25%, with potential surge to 50% to support end users across DoD ranges and labs in the US (including Alaska and Hawaii). Remote or nearby KBR office work is possible when not on site. Basic Qualifications
Active or current TS/SCI Clearance is required Degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 15+ years of DoD experience; 10-15 years considered on a case-by-case basis. Entry level candidates will not be considered. 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, etc.) Experience working in teams developing and interpreting analytic products with DoD data types Competency in software engineering concepts, statistical analysis, data mining, machine learning, and modeling to inform technical choices and infrastructure configuration Proven ability to handle large data for ETL processes Experience with big data infrastructure (e.g., Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, etc.) Experience dealing with imperfect data Experience implementing data visualization solutions Knowledge / Skills / Abilities
Experience with Python and R for processing, analyzing and visualizing data Experience using notebooks (Jupyter, RMarkdown) for reproducible products Experience with interactive visualization tools (RShiny, pyShiny, Dash) for interactive analytics Experience generating and presenting reports and findings to customers Experience building and optimizing big data pipelines and data sets Experience cleaning and preparing time series and geospatial data Experience working with Windows, Linux, and containers Experience querying databases using SQL and configuring distributed storage and computing environments (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, etc.) Experience with code repositories in a collaborative team Ability to make insightful data-driven recommendations and communicate effectively with customers and teammates Ability to present findings to both technical and non-technical audiences Ability to create documentation and repeatable procedures for reproducible research Ability to create training content for end users on tools and analytic methods Strong problem solving, debugging, and troubleshooting skills under pressure Self-motivated to design, develop, enhance, reengineer or integrate software applications to improve data outputs Ability to work with data scientists to implement effective analytical product designs Strong analytical skills with structured and unstructured data Excellent programming, testing, debugging, and problem-solving abilities Experience designing and maintaining data systems and solutions Understanding of ETL processes and implementation Knowledge of message queuing, stream processing and deriving value from large datasets Knowledge of software design patterns and Agile development methodologies Knowledge of methods from operations research, statistics, machine learning, data science, and computer science for data preparation and computing architecture decisions Knowledge of programming concepts, data structures and storage architectures including relational and non-relational databases and distributed computing frameworks Belong, Connect and Grow at KBR. At KBR, we are passionate about our people and our Zero Harm culture. This informs all that we do and is central to our commitment to being a People First company. 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, or beliefs, or any other characteristic protected by federal, state, or local law.
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Data Engineer
role at
KBR, Inc. Belong. Connect. Grow. with KBR! Overview
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. Why Join Us
Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Role and scope: As a Data Engineer, you will be a critical part of the team enabling data-driven decision analysis products through applying and promoting novel methods from data science, machine learning, and operations research to provide robust testing and evaluation capabilities to support DoD modernization. Team engagement: You will support analytic workflow and product development, promote best practices from data science, conduct applied methods projects, and support creation of analysis-ready data. On-site responsibilities: When supporting at sites, you will be the face of the CHEETAS Team, ensuring stakeholders have analytical tools, data products and reports to make informed recommendations based on your data-driven analysis. Stakeholder communication: You will assist both analyst/technical and non-analyst/non-technical stakeholders with the analysis of DoD datasets and demonstrate insights gained from DoD Test and Evaluation data. Collaboration and support: You will have reach-back support from other data science team members as well as software engineering and system administration teams. On-site tools and training: While onsite, you will run and operate CHEETAS (and other tools); demonstrate tools to stakeholders and VIPs; adapt tools, notebooks and reports to emerging needs; gather requirements; report feature requests or bugs; and conduct hands-on training with end users, including troubleshooting in closed networks without internet access with team support. Independence and motivation: Successful candidates must be self-motivated and capable of working independently with minimal supervision. Experience expectations: Data Engineers with 10+ years of DoD experience are welcome, with a preference for 15+ years. Travel: This position will require travel of 25%, with potential surge to 50% to support end users across DoD ranges and labs in the US (including Alaska and Hawaii). Remote or nearby KBR office work is possible when not on site. Basic Qualifications
Active or current TS/SCI Clearance is required Degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 15+ years of DoD experience; 10-15 years considered on a case-by-case basis. Entry level candidates will not be considered. 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, etc.) Experience working in teams developing and interpreting analytic products with DoD data types Competency in software engineering concepts, statistical analysis, data mining, machine learning, and modeling to inform technical choices and infrastructure configuration Proven ability to handle large data for ETL processes Experience with big data infrastructure (e.g., Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, etc.) Experience dealing with imperfect data Experience implementing data visualization solutions Knowledge / Skills / Abilities
Experience with Python and R for processing, analyzing and visualizing data Experience using notebooks (Jupyter, RMarkdown) for reproducible products Experience with interactive visualization tools (RShiny, pyShiny, Dash) for interactive analytics Experience generating and presenting reports and findings to customers Experience building and optimizing big data pipelines and data sets Experience cleaning and preparing time series and geospatial data Experience working with Windows, Linux, and containers Experience querying databases using SQL and configuring distributed storage and computing environments (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, etc.) Experience with code repositories in a collaborative team Ability to make insightful data-driven recommendations and communicate effectively with customers and teammates Ability to present findings to both technical and non-technical audiences Ability to create documentation and repeatable procedures for reproducible research Ability to create training content for end users on tools and analytic methods Strong problem solving, debugging, and troubleshooting skills under pressure Self-motivated to design, develop, enhance, reengineer or integrate software applications to improve data outputs Ability to work with data scientists to implement effective analytical product designs Strong analytical skills with structured and unstructured data Excellent programming, testing, debugging, and problem-solving abilities Experience designing and maintaining data systems and solutions Understanding of ETL processes and implementation Knowledge of message queuing, stream processing and deriving value from large datasets Knowledge of software design patterns and Agile development methodologies Knowledge of methods from operations research, statistics, machine learning, data science, and computer science for data preparation and computing architecture decisions Knowledge of programming concepts, data structures and storage architectures including relational and non-relational databases and distributed computing frameworks Belong, Connect and Grow at KBR. At KBR, we are passionate about our people and our Zero Harm culture. This informs all that we do and is central to our commitment to being a People First company. 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, or beliefs, or any other characteristic protected by federal, state, or local law.
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