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.
• 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.
• Experience working in or alongside the Department of Defense, preferably in operational or strategic environments.
• Experience applying AI techniques to defense-related projects or domains.
• Must have Active TS/SCI security clearance at the time of hire and before onboarding.

Nice to Have

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

Qualifications

• Bachelor's degree in a relevant field.
• Minimum of 3 years of professional experience in data engineering or related areas.

Benefits & Perks

• Salary range of $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.
• Supportive work environment promoting employee wellbeing.