diff --git a/sagemaker-mlops/src/sagemaker/mlops/feature_store/athena_query.py b/sagemaker-mlops/src/sagemaker/mlops/feature_store/athena_query.py
index 6131442b94..b70c4562f9 100644
--- a/sagemaker-mlops/src/sagemaker/mlops/feature_store/athena_query.py
+++ b/sagemaker-mlops/src/sagemaker/mlops/feature_store/athena_query.py
@@ -1,5 +1,6 @@
 """Run Athena queries against Feature Store offline data and load the results."""
 
+import logging
 import os
 import tempfile
 from dataclasses import dataclass, field
@@ -18,6 +19,8 @@
 from sagemaker.core.helper.session_helper import Session
 from sagemaker.core.telemetry import Feature, _telemetry_emitter
 
+logger = logging.getLogger(__name__)
+
 
 @dataclass
 class AthenaQuery:
@@ -91,6 +94,9 @@ def get_query_execution(self) -> Dict[str, Any]:
     def as_dataframe(self, **kwargs) -> DataFrame:
         """Download the result of the current query and load it into a DataFrame.
 
+        The query result is downloaded to a temporary local CSV file, which is removed
+        after it has been loaded (or if downloading/loading fails).
+
         Args:
             **kwargs (object): key arguments used for the method pandas.read_csv to be able to
                     have a better tuning on data. For more info read:
@@ -106,12 +112,24 @@ def as_dataframe(self, **kwargs) -> DataFrame:
             raise RuntimeError(f"Query {self._current_query_execution_id} failed.")
 
         output_file = os.path.join(tempfile.gettempdir(), f"{self._current_query_execution_id}.csv")
-        download_athena_query_result(
-            session=self.sagemaker_session,
-            bucket=self._result_bucket,
-            prefix=self._result_file_prefix,
-            query_execution_id=self._current_query_execution_id,
-            filename=output_file,
-        )
-        kwargs.pop("delimiter", None)
-        return pd.read_csv(output_file, delimiter=",", **kwargs)
+        try:
+            download_athena_query_result(
+                session=self.sagemaker_session,
+                bucket=self._result_bucket,
+                prefix=self._result_file_prefix,
+                query_execution_id=self._current_query_execution_id,
+                filename=output_file,
+            )
+            kwargs.pop("delimiter", None)
+            return pd.read_csv(output_file, delimiter=",", **kwargs)
+        finally:
+            _remove_temp_file(output_file)
+
+
+def _remove_temp_file(path: str) -> None:
+    """Best-effort removal of a temporary file; never raises."""
+    try:
+        if os.path.exists(path):
+            os.remove(path)
+    except OSError as e:
+        logger.warning("Failed to remove temporary query result file %s: %s", path, e)
diff --git a/sagemaker-mlops/tests/unit/sagemaker/mlops/feature_store/test_athena_query.py b/sagemaker-mlops/tests/unit/sagemaker/mlops/feature_store/test_athena_query.py
index e99eb6c7fc..9bb3340f50 100644
--- a/sagemaker-mlops/tests/unit/sagemaker/mlops/feature_store/test_athena_query.py
+++ b/sagemaker-mlops/tests/unit/sagemaker/mlops/feature_store/test_athena_query.py
@@ -114,3 +114,60 @@ def test_as_dataframe_raises_when_failed(self, mock_get, athena_query):
 
         with pytest.raises(RuntimeError, match="failed"):
             athena_query.as_dataframe()
+
+    @staticmethod
+    def _write_csv(**kwargs):
+        with open(kwargs["filename"], "w") as f:
+            f.write("col\n1\n2\n3\n")
+
+    @patch("sagemaker.mlops.feature_store.athena_query.get_query_execution")
+    @patch("sagemaker.mlops.feature_store.athena_query.download_athena_query_result")
+    def test_as_dataframe_removes_temp_file(self, mock_download, mock_get, athena_query, tmp_path):
+        athena_query._current_query_execution_id = "query-123"
+        athena_query._result_bucket = "bucket"
+        athena_query._result_file_prefix = "prefix"
+        mock_get.return_value = {"QueryExecution": {"Status": {"State": "SUCCEEDED"}}}
+        mock_download.side_effect = self._write_csv
+        expected_file = tmp_path / "query-123.csv"
+
+        with patch("tempfile.gettempdir", return_value=str(tmp_path)):
+            df = athena_query.as_dataframe()
+
+        assert df["col"].tolist() == [1, 2, 3]
+        assert mock_download.call_args[1]["filename"] == str(expected_file)
+        assert not expected_file.exists()
+
+    @patch("sagemaker.mlops.feature_store.athena_query.get_query_execution")
+    @patch("sagemaker.mlops.feature_store.athena_query.download_athena_query_result")
+    @patch("pandas.read_csv", side_effect=ValueError("bad csv"))
+    def test_as_dataframe_removes_temp_file_when_read_fails(
+        self, mock_read_csv, mock_download, mock_get, athena_query, tmp_path
+    ):
+        athena_query._current_query_execution_id = "query-123"
+        athena_query._result_bucket = "bucket"
+        athena_query._result_file_prefix = "prefix"
+        mock_get.return_value = {"QueryExecution": {"Status": {"State": "SUCCEEDED"}}}
+        mock_download.side_effect = self._write_csv
+
+        with patch("tempfile.gettempdir", return_value=str(tmp_path)):
+            with pytest.raises(ValueError, match="bad csv"):
+                athena_query.as_dataframe()
+
+        assert not (tmp_path / "query-123.csv").exists()
+
+    @patch("sagemaker.mlops.feature_store.athena_query.get_query_execution")
+    @patch("sagemaker.mlops.feature_store.athena_query.download_athena_query_result")
+    def test_as_dataframe_cleanup_failure_does_not_raise(
+        self, mock_download, mock_get, athena_query, tmp_path
+    ):
+        athena_query._current_query_execution_id = "query-123"
+        athena_query._result_bucket = "bucket"
+        athena_query._result_file_prefix = "prefix"
+        mock_get.return_value = {"QueryExecution": {"Status": {"State": "SUCCEEDED"}}}
+        mock_download.side_effect = self._write_csv
+
+        with patch("tempfile.gettempdir", return_value=str(tmp_path)):
+            with patch("os.remove", side_effect=PermissionError("file in use")):
+                df = athena_query.as_dataframe()
+
+        assert len(df) == 3