Data Engineer

📋 Description

• Design, develop, and deploy scalable AI data solutions.
• Build data pipelines, preprocessing, and feature engineering.
• Operate in containerized, CI/CD, DoD-compliant environments.
• Collaborate with PMs, developers, and mission stakeholders.
• Integrate services into secure production environments with Databricks, Docker, Terraform.
• Ensure performance, reliability, and security per DoD enterprise standards.

🎯 Requirements

• Education: bachelor’s degree + 3 years, or 11 years total experience alternative.
• Experience with Palantir Foundry and data visualization tools (MSS Workshop/Slate).
• Proficient in Python, SQL, and distributed data frameworks (Spark, Databricks, PySpark).
• ML model development from training to deployment (scikit-learn, TensorFlow, XGBoost).
• MLOps, API development, and secure cloud environments (AWS, Azure, Palantir Foundry).
• Excellent technical communication in agile, reproducible workflows.

🎁 Benefits

• Health and life insurance options.
• Paid time off and holidays.
• Disability coverage (short/long-term).
• Retirement and learning/development opportunities.
• Position-based benefits and flexible options where offered.