Data Engineer – Mid

Castalia Systems provides mission-critical technology and data solutions to the Federal Government, including artificial intelligence, data management, systems engineering, and development. The company is seeking a Mid-Level Data Engineer to analyze, extract, automate, model, and visualize complex datasets while developing statistical approaches and reporting findings for government operations in Chantilly, Virginia.

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

Preferred

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

Data analysis

Data exploitation

Data visualization

Microsoft Excel

Tableau

Power BI

Wireshark

National intelligence knowledge

Department of Defense knowledge

Linear modeling

Multivariate analysis

Analytical tool development

Analytical tool identification

Analytical tool integration

Science-related master's degree

Benefits

Medical, dental, vision coverage

401k matching

Generous PTO

Paid holidays

Professional training opportunities

Pet insurance

All regularly scheduled employees working at least 30 hours per week are eligible to participate in Castalia Systems’ benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Company

Cybersecurity, IT, and intelligence analysis for DoD and Intelligence Community

Tampa, Florida, USA

http://castaliasystems.com/

Founded in 2011

51-200 employees

Qualifications

**Clearance:** TS/SCI with a CI Poly

**Must be a U.S. Citizen**

Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics

5-10 years of progressive, relevant work experience

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

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

5-10 years of progressive, relevant work experience.

Required skills

TS/SCI with CI Poly Clearance, Data Engineering, Statistical Analysis, Data Modeling, Data Extraction, Transformation, and Cleaning, Data Automation and Optimization, Regression Analysis, Anomaly Detection, Clustering, SPSS, SAS, R

Preferred skills

Master's degree in a science related field

Experience

5+ years