Some common techniques used in feature engineering include one-hot encoding, feature scaling, handling missing values (e.g., imputation), creating interaction features (e.g., polynomial features), dimensionality reduction (e.g., PCA), feature selection (e.g., using statistical tests or feature importance), and transforming variables (e.g., logarithmic or power transformations).