Data Engineer

Data Engineer opportunity at Trinzic (planned spin-off from KBR) to support data-driven decision analysis for Department of Defense modernization.

Responsibilities

• Provide analytic consulting services to support analytic workflow and product development and testing
• Promote adoption of data science methods and best practices with analysts and end users
• Conduct applied methods projects and support creation of analysis-ready data
• Equip stakeholders with the analytical tools, data products, and reports needed for insight-based recommendations
• Assist both analyst/technical and non-analyst/non-technical stakeholders with analysis of DoD datasets
• Demonstrate the “art of the possible” for stakeholders and VIPs using insights from DoD Test and Evaluation (T&E) data
• Communicate effectively at programmatic and technical levels, coordinating with data science teammates plus software engineering and system administration teams
• Run and operate CHEETAS and other tools; demonstrate tools and convey analysis results to stakeholders and VIPs
• Adapt internally-developed tools, notebooks, and reports to meet emerging needs
• Collect stakeholder use cases, requirements, gaps, and needs for larger development items and submit them as feature requests or bug reports to the CHEETAS development team
• Deliver impromptu hands-on training sessions and potentially troubleshoot issues with end users
• Work independently with limited supervision and self-directed task ownership

Requirements

• Active or current TS/SCI Clearance is required
• Degree in operations research, engineering, applied math, statistics, computer science, or information technology
• Preferred 15+ years of experience within DoD
• 10-15 years of DoD experience will be considered on a case-by-case basis
• Entry level candidates will not be considered
• At least 5 years hands-on experience in big data analytics
• At least 5 years hands-on experience with object-oriented and functional languages (examples: Python, R, C++, C#, Java, Scala)
• Experience dealing with imperfections in data
• Competency in software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling to inform technical choices and infrastructure configuration
• Proven analytical skills preparing and handling large volumes of data for ETL processes
• Experience developing and interpreting analytic product results with DoD-specific data types
• Experience in installation, configuration, and use of big data infrastructure (examples: Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare)
• Experience implementing data visualization solutions
• Experience using scripting languages Python and R to process, analyze, and visualize data
• Experience using notebooks (Jupyter Notebooks, RMarkdown) to create reproducible and explainable products
• Experience using interactive visualization tools (RShiny, pyShiny, Dash)
• Experience generating and presenting reports, visualizations, and findings to customers
• Experience building and optimizing big data data pipelines, architectures, and datasets
• Experience cleaning and preparing time series and geospatial data for analysis
• Experience working with Windows, Linux, and containers
• Experience querying databases using SQL and configuring distributed storage and computing environments (examples: Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase)
• Experience working with code repositories in a collaborative team
• Ability to make insight-based recommendations from data-driven analysis and customer interactions
• Ability to communicate orally and in writing with customers and teammates
• Ability to present findings to large technical and non-technical groups
• Ability to create documentation and repeatable procedures that enable reproducible research
• Ability to create training and educational content for novice end users
• Ability to solve problems, debug, and troubleshoot under pressure and time constraints
• Self-motivated to design, develop, enhance, reengineer, or integrate software to improve data outputs
• Ability to work with data scientists to develop and implement designs for new analytical products
• Strong analytical skills across 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, including how they function and experience implementing them
• Knowledge of message queuing, stream processing, and extracting value from large disparate datasets
• Knowledge of software design patterns and Agile Development methodologies
• Knowledge of operations research, statistical and machine learning, data science, and computer science to select methods for data preparation and computing architecture configuration
• Knowledge of programming concepts, data structures, and storage architecture, including relational and non-relational databases, distributed computing frameworks, and modeling and simulation experimentation

Required Technologies

• CHEETAS
• Python, R, C++, C#, Java, Scala
• SQL
• Jupyter Notebooks, RMarkdown
• RShiny, pyShiny, Dash
• Spark, Trino, Hadoop, Hive
• Neo4J, JanusGraph, HBase
• MS SQL Server with Polybase
• VMWare
• MongoDB, Accumulo
• ETL, containers, Windows, Linux
• Agile Development methodologies

Location

• Onsite in Camarillo, California

Travel Requirements

• 25% travel, with potential surge to 50%
• Travel to support end users at various DoD ranges and labs across the US (including Alaska and Hawaii)
• When not supporting a site, may work remotely or from a nearby KBR office (if available and desired)

Working Hours

• Standard; you may be the only team member physically on-site providing support, but you will not be alone
• 40 hours/week

Compensation

• Basic compensation: $135,000 - $183,00 (California Only)
• Offered rate based on knowledge, skills, abilities, and/or experience and internal parity
• Additional compensation: bonuses, commissions, or other forms per internal policy or contractual designation
• May include sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Trinzic Spin-Off Timing

• Trinzic is expected to become an independent company via planned spin-off of KBR’s Mission Technology Solutions business in January 2027
• Candidates joining KBR’s Mission Technology Solutions business before the spin-off will transition to Trinzic when separation is complete and will not need to reapply