Data Engineer

📋 Description

• Design, develop, and deploy scalable data pipelines for AI/ML.
• Build ingestion, transformation, and feature engineering services with CI/CD.
• Develop ML models and inference APIs for decision support.
• Collaborate with product managers, developers, and stakeholders.
• Ensure secure, containerized deployments in cloud environments.
• Analyze data and create dashboards to inform decisions.

🎯 Requirements

• Bachelor's degree +3 yrs OR Associate +7 yrs OR cert +7 yrs OR 11 yrs exp.
• Python, SQL, and distributed data frameworks (Spark, Databricks, PySpark).
• ML libraries: scikit-learn, TensorFlow, XGBoost, MLflow.
• MLOps, API development, and secure cloud envs (AWS/Azure/Palantir Foundry).
• Data validation, model testing, and performance evaluation.
• Data visualization and storytelling with Tableau/Plotly/Matplotlib.

🎁 Benefits

• Competitive benefits package.
• Mission-driven work on national security.
• Growth and learning opportunities.