$119,900 - $179,800; not specified; not specified ...
Fully remote
Data-driven decision analysis products
Novel methods from data science
Machine learning and operations research
Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense
Job Summary
Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
As a Data Engineer, you will be a critical part of the team that is responsible for enabling the development of data-driven decision analysis products through the innovative application, and promotion, of novel methods from data science, machine learning, and operations research to provide robust and flexible testing and evaluation capabilities to support DoD modernization.
Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how analysis is performed across the entire Department of Defense!
Matching Summary
Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
Salary
$119,900 - $179,800; Not specified; Not specified
Skills & Requirements
Must-have
Data-driven decision analysis products
Novel methods from data science
Machine learning and operations research
Testing and evaluation capabilities
Analysis-ready data
Big data analytics
Object-oriented and functional languages
Dealing with imperfections in data
Big data infrastructure
Data Visualization solutions
ETL processes
Message queuing and stream processing
Nice-to-have
Collaborative environment
Intellectually stimulating workplace
Self-motivated and independent work
Agile Development methodologies
Software design patterns
Key Requirements
Active or current TS/SCI Clearance
15+ years of experience within DoD
5 years of hands-on experience in big data analytics
5 years of hands-on experience with object-oriented and functional languages
Experience using scripting languages (Python and R)
Experience using notebooks (Jupyter Notebooks and RMarkdown)
Experience using interactive visualization tools (RShiny, pyShiny, Dash)
Experience building and optimizing data pipelines
Experience cleaning and preparing time series and geospatial data
Experience working with Windows, Linux, and containers
Experience querying databases using SQL
Experience working with code repositories
Ability to make insightful recommendations
Ability to effectively communicate
Ability to speak and present findings
Ability to create documentation
Ability to create training and educational content
Ability to solve problems, debug, and troubleshoot
Ability to design, develop, enhance, reengineer or integrate software applications
Ability to work closely with data scientists
Strong analytical skills
Excellent programming, testing, debugging, and problem-solving skills
Experience designing, building, and maintaining data systems
Understanding of ETL processes
Knowledge of message queuing, stream processing
Knowledge of software design patterns and Agile Development methodologies
Knowledge of methods from operations research, statistical and machine learning, data science, and computer science
Knowledge of computer programming concepts, data structures and storage architecture