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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 role supporting DoD modernization through data science, machine learning, and operations research focused on testing and evaluation.

Responsibilities

Provide analytic consulting services that support analytic workflow and product development and testing
Promote adoption of data science methods and best practices across analytic workflows
Conduct applied methods projects and support creation of analysis-ready data
Help stakeholders use the analytical tools, data products, and reports needed to make data-driven recommendations
Directly assist both analyst and technical stakeholders and non-analyst and non-technical stakeholders with analysis of DoD datasets
Demonstrate insights from DoD Test and Evaluation (T&E) data to stakeholders and VIPs, including “art of the possible” outcomes
Communicate effectively at programmatic and technical levels, collaborating with data science team members and partnering with software engineering and system administration teams
Run and operate CHEETAS and related tools
Demonstrate CHEETAS and other tools to stakeholders and VIPs, convey analysis results, and adapt internally developed tools, notebooks, and reports to 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
Conduct impromptu hands-on training sessions with end users and troubleshoot problems as needed
Work independently with minimal supervision or direct tasking

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 considered case-by-case
Entry level candidates will not be considered
5 years of hands-on experience in big data analytics
5 years of hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala, etc.)
Experience dealing with imperfections in data
Competency across software engineering concepts, 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 products with DoD specific data types
Experience installing, configuring, and using big data infrastructure (examples include Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare)
Experience implementing data visualization solutions
Experience with scripting languages Python and R to process, analyze, and visualize data
Experience with Jupyter Notebooks and RMarkdown to create reproducible and explainable products
Experience with interactive visualization tools (RShiny, pyShiny, Dash)
Experience generating and presenting reports, visualizations, and findings to customers
Experience building and optimizing big 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 working with/configuring distributed storage and computing environments (examples include Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase)
Experience working with code repositories in a collaborative team
Ability to make insightful recommendations based on data-driven analysis and customer interactions
Ability to effectively 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 to support reproducible research
Ability to create training and educational content for novice end users on tool usage and novel analytic methods
Ability to solve problems, debug, and troubleshoot under pressure and time constraints
Self-motivated to design, develop, enhance, reengineer, or integrate software applications to improve data outputs for end users
Ability to work with data scientists to develop and implement technical designs and approaches 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 data systems and solutions
Understanding of ETL processes and experience implementing ETL
Knowledge of message queuing, stream processing, and extracting value from large disparate datasets
Knowledge of software design patterns and Agile Development methodologies is required
Knowledge of operations research, statistical and machine learning, data science, and computer science to select appropriate 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; Camarillo, California

Travel Requirements

25% travel required; 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, remote work or work from a nearby KBR office may be available and desired

Working Hours

Standard hours (40 scheduled weekly hours)
You may be the only team member physically on-site providing support, and you will not be alone

Compensation

Basic compensation: $135,000 - $183,00 (California Only)
Offered rate based on knowledge, skills, abilities, and/or experience, and internal parity
Additional compensation: KBR may offer bonuses, commissions, or other forms of compensation per internal policy or contractual designation
Additional compensation 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 through a planned spin-off of KBR’s Mission Technology Solutions business in January 2027
Candidates who join 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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