6 months ago
Camarillo, CA, USASenior
Base Salary
$120k - $180k/yr
Responsibilities
- Support the development, testing, and adoption of data-driven decision analysis products for DoD modernization.
- Build, optimize, and maintain data pipelines, architectures, datasets, ETL processes, and data systems.
- Prepare and analyze large, structured, unstructured, time-series, and geospatial datasets.
- Install, configure, and operate big data infrastructure and distributed storage and computing environments.
- Create reproducible notebooks, reports, interactive visualizations, documentation, training materials, and repeatable procedures.
- Provide onsite analytical consulting, tool demonstrations, data analysis, reporting, and training to technical and non-technical stakeholders and VIPs.
- Adapt internal tools, notebooks, and reports; gather requirements and submit feature requests or bug reports to development teams.
- Troubleshoot tools and applications in closed networks, debug problems under time constraints, and support end users across DoD ranges and laboratories.
- Work with data scientists, software engineers, system administrators, and customers to design and implement analytical products.
- Communicate findings and recommendations effectively in writing, verbally, and to large technical and non-technical audiences.
Requirements
- An accredited degree in operations research, engineering, applied mathematics, statistics, computer science, or information technology.
- An active or current TS/SCI security clearance.
- Five years of hands-on experience in big data analytics.
- Five years of hands-on experience with object-oriented and functional programming languages.
- Ten to fifteen years of DoD experience may be considered case by case; 15+ years is preferred.
- Experience with data cleaning, preparation, ETL, analytics, data mining, machine learning, statistical analysis, modeling, and large-volume datasets.
- Experience with big data infrastructure such as Spark, Trino, Hadoop, Hive, Neo4j, JanusGraph, HBase, MS SQL Server with PolyBase, and VMware.
- Experience using Python and R for data processing, analysis, and visualization.
- Experience using Jupyter Notebooks, R Markdown, R Shiny, pyShiny, and Dash.
- Experience with SQL, databases, distributed storage and computing, message queuing, and stream processing.
- Experience working with Windows, Linux, containers, code repositories, and collaborative development teams.
- Experience building data visualization solutions and presenting reports, visualizations, and findings to customers.
- Experience designing, building, and maintaining new and existing data systems and solutions.
- Knowledge of software design patterns, data structures, relational and non-relational databases, distributed computing frameworks, modeling and simulation, and operations research methods.
- Ability to work independently, communicate effectively, train novice users, solve problems, debug systems, and make data-driven recommendations.
Benefits
- The position is onsite in Camarillo, California, with the option to work remotely or from a nearby KBR office when not supporting a site, if available and desired.
- The role requires approximately 25% travel, with potential surges to 50%, to DoD ranges and laboratories across the United States, including Alaska and Hawaii.
- The position has a standard work schedule and a 40-hour work week.
- KBR may provide bonuses, commissions, sign-on or relocation benefits, short- and long-term incentives, or discretionary performance payments according to policy or contract.
- The role offers work supporting national security, space defense, DoD modernization, and collaborative data science and engineering teams.
Tech Stack
Categories
Data Engineering
About KBR, Inc.
KBR, Inc. delivers engineering, technology, and professional services to government and industrial customers, spanning defense, space, sustainability, and energy. Its businesses include long-term government mission support and program management, and Sustainable Technology Solutions that license process technologies and provide consulting and operations support across asset lifecycles. Headquartered in Houston and listed on the NYSE, KBR became an independent public company in 2006 after its separation from Halliburton.