Why This Role Stands Out
This hybrid Data Engineer role offers a competitive salary and the chance to solve complex problems for a government client, fostering significant skill development in data analysis and statistical techniques. You'll thrive here if you possess strong analytical thinking, problem-solving skills, and a desire to contribute to critical operations within a reputable organization. Apply today to leverage your expertise and advance your career!
Quick Overview
Job Description
Career Opportunities with Castalia Systems A great place to work. Careers At Castalia Systems Current job opportunities are posted here as they become available.
Job Type: Full- Time Clearance: TS/SCI with a CI Poly Must be a U.S. Citizen Job Summary Castalia Systems is seeking a Data Engineer-Mid 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. Roles and 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. 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
- 5-10 years of progressive, relevant work experience.
- 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
Preferred Qualifications
- 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
- Normal office environment.
- CONUS and OCONUS travel may be required. (10%)
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