Data Engineer Mid
Listed on 2026-07-16
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IT/Tech
Data Analyst, Data Engineering, Data Scientist
Data Engineer – Mid Level for a government customer in Chantilly, Virginia. This role supports data-focused analysis, modeling, and solutioning for complex operational problems with a focus on rapid, data‑driven decision making.
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 and 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
- Normal office environment.
- CONUS and OCONUS travel may be required. (10%)
Salary: $ to $ (annualized USD). Benefits include medical, dental, vision coverage, 401(k) matching, generous PTO, paid holidays, professional training opportunities, pet insurance, and more.
DisclaimerCastalia Systems is an equal employment opportunity and affirmative action employer and strives to comply with all applicable laws prohibiting discrimination based on race, color, creed, sex, sexual orientation, age, national origin, ancestry, physical or mental disability, veteran status, marital status, HIV‑positive status, as well as any other category protected by federal, state, or local laws. All such discrimination is unlawful, and all persons involved in the operations of the company are prohibited from engaging in this type of conduct.
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