Data Engineer

Trinzic is hiring a Data Engineer to help deliver data-driven decision analysis products for the Department of Defense. Working onsite in Honolulu, HI, you will support analytic consulting, data product development, and the operation of CHEETAS tools that bring insights from DoD Test and Evaluation data to analysts, technical teams, and VIP stakeholders.

You will bring hands-on experience building and running big data analytics and ETL/data pipelines, while also supporting end users with practical, tool-based guidance. The role includes stakeholder engagement, translating results into recommendations, and occasional travel to DoD ranges and labs across the US.

Responsibilities

• Provide analytic consulting to support analytic workflow and product development and testing, including applied methods projects and assistance with creating analysis-ready data.
• Serve as a key face of the CHEETAS Team, ensuring stakeholders have the analytical tools, data products, and reports needed to make insightful recommendations from your data-driven analysis.
• Assist analysts and non-analyst stakeholders in analyzing DoD datasets, demonstrating the “art of the possible” through insights from DoD Test and Evaluation (T&E) data.
• Communicate effectively at both programmatic and technical levels.
• Run and operate CHEETAS and other tools: demonstrate them to stakeholders and VIPs, convey analysis results, adapt internal tools/notebooks/reports to emerging needs, and capture gaps and requirements as feature requests or bug reports.
• Conduct impromptu hands-on training with end users and perform troubleshooting as needed.
• Work independently with limited 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.
• Entry level candidates will not be considered.
• Previous experience must include five (5) years hands-on experience in big data analytics.
• Previous experience must include five (5) years 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 in software engineering and programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to inform technical choices and infrastructure configuration.
• Proven analytical skills preparing and handling large volumes of data for ETL processes.
• Experience working with teams to develop and interpret results of analytic products with DoD-specific data types.
• Experience installing, configuring, and using big data infrastructure (e.g., 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 using notebooks (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 data sets.
• 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 and 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 communicate orally and in writing with customers and teammates, including presenting findings to large technical and non-technical groups.
• Ability to create documentation and repeatable procedures to enable reproducible research and troubleshooting under time constraints.
• Ability to create training and educational content for novice end users on tools and novel analytic methods.
• Ability to self-motivate to design, develop, enhance, reengineer, or integrate software applications to improve the quality of data outputs.
• Ability to work closely with data scientists to develop and implement technical designs for new analytical products.
• Strong analytical skills across structured and unstructured datasets, with excellent programming, testing, debugging, and problem-solving skills.
• Experience designing, building, and maintaining data systems and solutions, including understanding and implementing ETL processes.
• 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 sufficient 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 sufficient to select appropriate methods.

Technologies

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

Benefits

• KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, 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.

Work Environment

• Location: Onsite; Honolulu, HI
• Travel Requirements: 25% travel with potential surge to 50% to support end users at various DoD ranges and labs across the US (including Alaska and Hawaii). When not supporting a site, this position can work remotely or from a nearby KBR office (if available and desired).
• Working Hours: Standard. You may be the only team member physically onsite providing support, but you will not be alone.

Compensation

• $119,900 - $179,000 (basic compensation for the Hawaii area only)
• The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience, and in consideration of internal parity.