Data Engineer
TRINZIC CORP
Chantilly, VA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $124,400.0
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Agile Methodology
Amazon Web Services
Data Analysis
Decision Support Systems
Python (Programming Language)
Machine Learning
Open Source Technology
Software Tools
Software Requirements Analysis
Software Systems
Orbital Mechanics
+1 more
Production Code
Requirements
- Develop and implement methods of automation and optimization of data and products to present to upper management
- Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
- Demonstrate effective communication skills to relay data science activities, technical findings, and data products for both technical and non-technical customers
- Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
- Ability to elicit and define system requirements, track progress against defined milestones to ensure completion, and evaluate test results to validate system performance and acceptance criteria.
- Demonstrated ability to design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and writing technical documentation.
- Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
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5+ years of progressive, relevant work experience. Preferred Qualifications:
- Hands-on experience leveraging modern data analysis and engineering tools (e.g. Python, Excel, AWS) to process, analyze, and visualize data, enabling efficient insight generation and decision support.
- Knowledge of National Intelligence Agencies and Department of Defense elements
- Familiarity with the space domain, including orbital mechanics, satellite systems, space-based sensors and associated operational concepts.
- Familiarity with Agile processes.
- Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques)
- Experience in analytical tool development, identification, and integration
- Master’s degree in an engineering or science related field
About the company
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
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