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Data Engineer

Trinzic Camarillo, CA

Camarillo, CA

Today

Full time Big Data Data Analysis Data Analytics

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Job Description

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

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