TS/SCI Data Engineer- AI

About the Role

Key Responsibilities

• Develop and maintain scalable, efficient data pipelines to ingest, transform, and store data from both traditional and non-traditional sources.
• Implement and manage medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, traceability, and accessibility.
• Perform data transformation and optimization to improve pipeline performance and reliability.
• Work with data science tools (Jupyter Notebooks, Databricks, etc.) and libraries (Pandas, PySpark, Polars, matplotlib, Plotly, etc.) for data wrangling and visualization.
• Collaborate closely with business and operational stakeholders to understand mission requirements and translate them into technical data solutions.
• Clearly communicate project progress, blockers, and results to technical and non-technical stakeholders.
• Curate, assess, and validate data for modeling, dashboarding, or operational use.
• Distill complex data workflows into clear, concise executive briefings.
• Support AI/ML and generative AI projects as needed or required.

Requirements

• Bachelor's degree in computer science, Information Technology, Data Science, or a related field.
• TS/SCI Government clearance which requires US citizenship.
• Minimum of 3 years of experience in data engineering, database management, or a related field.
• Strong programming skills in Python and SQL, with proficiency in TensorFlow, PyTorch, or similar frameworks.
• Experience in developing and deploying neural networks and deep learning models.
• Familiarity with natural language processing (NLP) concepts and frameworks.
• Ability to define problem statements clearly and develop detailed queries for language models.
• Deep understanding of artificial intelligence, machine learning, and natural language processing.
• Familiarity with language model architectures and functionalities.
• Strong creative thinking skills to develop conversational abilities and innovative solutions.
• Demonstrated experience working in or alongside the Department of Defense, preferably in operational or strategic-level environments.
• Experience in applying AI techniques to defense-related projects or domains.

Nice to Have

• Experience supporting the Joint Staff, Combatant Commands, or other defense/intelligence organizations.
• Familiar with Advana, Palantir, MSS, ScaleAI, or similar defense analytics platforms.
• Understanding of military operations, structure, and data types (e.g., unit status, logistics, intel, etc.).
• Exposure to generative AI, large language models (LLMs), and prompt engineering for structured/unstructured data analysis.

Qualifications

• Educational background as specified in requirements (Bachelor's degree or higher).

Benefits & Perks

• Salary Range: $108,700.00 - $190,200.00
• Medical, dental, and vision insurance
• Paid time off and holidays
• 401(k) retirement plan
• Life insurance
• Flexible work schedules
• Employee wellbeing and growth opportunities