Data Engineer � Jr

Castalia Systems•Chantilly, VA

15h•Onsite

About The Position

Castalia Systems is seeking a Data Engineer-Junior to support one of our government customers in Chantilly, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems to satisfy priority information enabling operations. This position requires strong attributes for problem solving, data analysis, troubleshooting, analytical thinking, and experimentation, often under time sensitive decisions.

Requirements

experience performing data science/engineering work and writing reports based upon the resulting work/accomplishments
proficiency in statistics packages such as SPSS, SAS, S-PLUS, and R
Programming skills sufficient to extract, transform, and clean multi-terabyte databases
Significant current experience (i.e., within last 2 years) in data science/engineering work
Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
0 - 5+ years of progressive, relevant work experience.

Nice To Haves

Hands-on experience using commercially available data exploitation and visualization tools for analysis (e.g., MS Excel, Tableau, Power BI, Wireshark)
Knowledge of National Intelligence Agencies and Department of Defense elements
Advanced Statistical knowledge and analysis methods (e.g., Linear models, multivariate analysis)
Experience in analytical tool development, identification, and integration
Master's degree in a science related field

Responsibilities

Utilize statistical techniques to analyze and extract relevant information from large amounts of data
Automate and optimize data extraction, cleaning, processing and analysis functions
Develop, validate, and implement data models to solve problems/answer questions
Develop and implement novel statistical approaches to address complex issues
Perform data science/engineering with little guidance and independently write reports detailing methods, results, and impacts to assigned issues
Support in the acquisition of systems, software, and data science related capabilities.
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
Create data packages in the form of databases (DBs), reports, and interactive visualizations
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
Demonstrated ability to use technical and analytic skills to solve complex problem