Full-Stack Data Engineer (TS/SCI)

Your Role And Responsibilities

• Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results.
• Perform Statistical Analysis: Perform statistical analysis and data mining to identify trends and patterns and utilize predictive analytics tools like SPSS to draw conclusions and present findings.
• Formulate Mathematical Approaches: Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming.
• Prepare and Collect Data: Gather and prepare data for analysis, ensuring data quality and integrity.
• Deploy Analysis Results: Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement.

Preferred Education

• Master's Degree Required

Technical And Professional Expertise

• US Citizen with active TS//SCI clearance or show immediate eligibility according to DISS security database (SCI within last 2 years)
• Bachelor’s Degree, preferably in STEM fields.
• 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities.
• 2+ years of experience using Python or similar programming languages (Ruby, Java, R).
• 2+ years of experience with database development (SQL and NoSQL).
• 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context.
• Experience with advanced text parsing tools to include regex and NLP.

Preferred Technical And Professional Experience

• Master’s Degree, preferably in STEM fields.
• 2+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired
• Experience developing and delivering technology in at least two of the following areas with a willingness to expand to all: data analytics, machine learning, artificial intelligence, data visualization, geospatial analysis, web services, or database development.
• Experience in web design and development using HTML and CSS.
• Experience in advanced AI techniques - fine-tuning ML models and LLMs, implementing chat sessions via API, retrieval-augmented generation, agentic workflows/tooling/function calling, and/or context window optimization.