KBR

DataEngineer

$120–179k Honolulu, Hawaii, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at KBR. Skills: Data Engineering, Machine Learning, Data Science, Big Data Analytics. Provide analytic consulting services. Support analytic workflow development”

What You'll Achieve.

Provide robust and flexible testing and evaluation capabilities; Ensure stakeholders have data products and reports; Make insightful recommendations based on data driven analysis; Demonstrate the 'art of the possible' to stakeholders and VIPs; Convey analysis; Meet emerging gathering use cases; Meet emerging requirements; Meet emerging gaps; Meet emerging needs from stakeholders

Industry & Context.

Problems you'll solve

Problem-solving skills

Eligibility Requirements

Active or current TS/SCI Clearance, 25% travel, Potential surge to 50% travel, Work from remote, Work from KBR office

What They're Looking For.

Must Have

Active or current TS/SCI Clearance, 15+ years of experience within DoD, 5 years of hands-on experience in big data analytics, 5 years of hands-on experience with object-oriented and functional languages, Experience in dealing with imperfections in data, Competency in software engineering, Competency in computer programming, Competency in statistical analysis, Competency in data mining algorithms, Competency in machine learning, Competency in modeling, Proven analytical skills, Experience preparing and handling large volumes of data for ETL processes, Experience working with teams in development and interpretation of analytic products, Experience using scripting languages (Python and R), Experience using notebooks (Jupyter Notebooks and RMarkdown), Experience using interactive visualization tools (RShiny, pyShiny, Dash), Experience using big data infrastructure (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare), Experience implementing Data Visualization solutions, Understanding of ETL processes, Knowledge of message queuing, Knowledge of stream processing, Knowledge of software design patterns, Knowledge of Agile Development methodologies, Knowledge of methods from operations research, Knowledge of statistical and machine learning, Knowledge of data science, Knowledge of computer science, Knowledge of computer programming concepts, Knowledge of data structures and storage architecture, Knowledge of relational and non-relational databases, Knowledge of distributed computing frameworks, Knowledge of modeling and simulation experimentation

Nice to Have

10-15 years of DoD experience, PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Provide analytic consulting services

Support analytic workflow development

Support analytic product development

Support analytic product testing

Promote user adoption of methods

Promote best practices from data science

Conduct applied methods projects

Support creation of analysis-ready data

Ensure stakeholders have analytical tools

Ensure stakeholders have data products

Ensure stakeholders have reports

Make insightful recommendations

Assist stakeholders with analysis of DoD datasets

Demonstrate 'art of the possible' to stakeholders

Demonstrate 'art of the possible' to VIPs

Communicate at programmatic level

Communicate at technical level

Run and operate CHEETAS

Run and operate other tools

Demonstrate tools to stakeholders

Adapt internally-developed tools

Meet emerging gathering use cases

Meet emerging requirements

Meet emerging needs from stakeholders

Provide information as feature requests

Provide information as bug reports

Perform impromptu hands-on training sessions

Troubleshoot problems

Work independently with little supervision

Work independently with direct tasking

How You'll Work.

Team & Collaboration

Data science team members; Software engineering teams; System administration teams; Distributed team members

Communication Scope

Programmatic communication; Technical communication

Process & Methodology

Agile Development methodologies

Full Job Description

**Title:** Data Engineer ** _Belong. Connect. Grow. with KBR!_** 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. **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!** **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. * **Analytic Experience:** Candidate will be a part of the 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. * **Onsite Support:** Candidate will be the face of the CHEETAS Team and will be responsible for ensuring stakeholders have the analytical tools, data products and rep

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