Data Engineer, Mid

What you'll do

• Develop algorithms and systems to transform disparate data points into objective answers.
• Build advanced analytics and AI/ML models, including tools leveraging LLMs and agentic AI.
• Perform data retrieval, cleaning, modeling, accuracy evaluation, and testing.
• Translate complex technical findings into graphical, written, visual, and verbal narrative products.
• Visualize complex data and concepts for non-technical leadership to highlight system risks.
• Identify and extract specific information from data-rich environments to solve client problems.
• Provide deep analysis of data to help clients make informed decisions.

What we're looking for

• 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
• Experience building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
• Experience working on classified networks in support of DoW or IC clients.
• Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing.
• 7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree.
• 2+ years of experience in algorithm development using R, Python, SQL, NoSQL, Distributed data tools, Machine Learning, AI, NLP, or visualization packages (preferred).