Data Engineer Jr
Listed on 2026-07-01
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IT/Tech
Data Analyst, Data Engineering, Data Scientist
Job Summary
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.
Job Type: Full‑Time
Clearance: TS/SCI with a CI Poly
Must be a U.S. Citizen
- 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
- 0 – 5+ 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
- 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%)
Castalia Systems is a proven business partner providing mission critical solutions to the Federal Government. We provide cutting edge solutions from Securing and Managing Data to Systems Engineering and Development. Castalia Systems is a pioneer in Artificial Intelligence Design and Application. With our vast knowledge of our customers’ needs and relevant technology, our team is able to bring successful solutions to every mission.
We are one‑upping our competitors by providing premium IT solutions and platforms with cutting‑edge technology so it’s so evident when you compare us with anyone.
At Castalia Systems, we provide you with opportunities and choices and support your total well‑being. Our benefits include medical, dental, vision coverage, 401(k) matching, generous PTO, paid holidays, professional training opportunities, and even pet insurance to ensure your furry friends are cared for too. All regularly scheduled employees working at least 30 hours per week are…
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