Data Engineer
Core
Design, develop, and deploy scalable AI-enabled data pipelines, reusable data services, and machine learning models for mission-critical Department of Defense environments.
Role type
Senior Data Engineer (AI/ML & Data Pipelines)
Builds
Scalable data pipelines, feature-engineering services, and production ML models for Combatant Commands
Domain
Defense / AI & Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Spark, Databricks, PySpark, scikit-learn, TensorFlow, XGBoost, Docker, Terraform, SageMaker, MLflow, Palantir MSS Workshop, Slate
Preferred skills
MLOps, API development, AWS, Azure, Palantir Foundry, data validation, model testing
Technologies
Databricks, Docker, Terraform, SageMaker, MLflow, Palantir MSS Workshop, Slate, scikit-learn, TensorFlow, XGBoost
Responsibilities
Design and maintain reusable services for data ingestion, transformation, and feature engineering; Build scalable data pipelines for structured and unstructured mission data; Develop and deploy standalone and embedded machine learning models; Implement data science capabilities including entity resolution, classification, clustering, and anomaly detection; Package model-inference services using documented APIs; Conduct exploratory data analysis and develop data visualizations; Collaborate with DevSecOps to integrate services into secure production environments; Maintain reproducibility and interpretability of model outputs.
Seniority
Senior, hands-on IC