diff --git a/sdv/data_processing/data_processor.py b/sdv/data_processing/data_processor.py
index 9bda9644e..a8d33a203 100644
--- a/sdv/data_processing/data_processor.py
+++ b/sdv/data_processing/data_processor.py
@@ -537,9 +537,9 @@ def update_transformers(self, column_name_to_transformer):
                     "'RegexGenerator' instead."
                 )
 
-        warnings.filterwarnings('ignore', module='rdt')
-        self._hyper_transformer.update_transformers(column_name_to_transformer)
-        warnings.resetwarnings()
+        with warnings.catch_warnings():
+            warnings.filterwarnings('ignore', module='rdt.hyper_transformer')
+            self._hyper_transformer.update_transformers(column_name_to_transformer)
 
     def _fit_hyper_transformer(self, data):
         """Create and return a new ``rdt.HyperTransformer`` instance.
diff --git a/tests/unit/data_processing/test_data_processor.py b/tests/unit/data_processing/test_data_processor.py
index 862c977a7..e0670c2c5 100644
--- a/tests/unit/data_processing/test_data_processor.py
+++ b/tests/unit/data_processing/test_data_processor.py
@@ -1,4 +1,5 @@
 import re
+import warnings
 from unittest.mock import Mock, call, patch
 
 import numpy as np
@@ -7,7 +8,8 @@
 from rdt.errors import ConfigNotSetError
 from rdt.errors import NotFittedError as RDTNotFittedError
 from rdt.transformers import (
-    AnonymizedFaker, FloatFormatter, IDGenerator, UniformEncoder, UnixTimestampEncoder)
+    AnonymizedFaker, FloatFormatter, GaussianNormalizer, IDGenerator, UniformEncoder,
+    UnixTimestampEncoder)
 
 from sdv.constraints.errors import MissingConstraintColumnError
 from sdv.constraints.tabular import Positive, ScalarRange
@@ -1199,6 +1201,18 @@ def test_update_transformers_not_fitted(self):
         with pytest.raises(NotFittedError, match=error_msg):
             dp.update_transformers({'column': None})
 
+    def test_update_transformers_ignores_rdt_refit_warning(self):
+        """Test silencing hypertransformer refit warning (replaced by SDV warning elsewhere)"""
+        metadata = SingleTableMetadata()
+        metadata.add_column('col1', sdtype='numerical')
+        metadata.add_column('col2', sdtype='numerical')
+
+        dp = DataProcessor(metadata)
+        dp.fit(pd.DataFrame({'col1': [1, 2], 'col2': [1, 2]}))
+        with warnings.catch_warnings():
+            warnings.simplefilter('error')
+            dp.update_transformers({'col1': GaussianNormalizer()})
+
     def test_update_transformers_for_key(self):
         """Test when ``transformer`` is not ``AnonymizedFaker`` or ``RegexGenerator`` for keys."""
         # Setup