diff --git a/src/snowflake/connector/pandas_tools.py b/src/snowflake/connector/pandas_tools.py
index f197cfafa..c0d21b595 100644
--- a/src/snowflake/connector/pandas_tools.py
+++ b/src/snowflake/connector/pandas_tools.py
@@ -166,7 +166,7 @@ def _create_temp_file_format(
 
 
 def write_pandas(
-    conn: SnowflakeConnection,
+    conn: SnowflakeConnection | SnowflakeCursor,
     df: pandas.DataFrame,
     table_name: str,
     database: str | None = None,
@@ -216,7 +216,7 @@ def write_pandas(
             success, nchunks, nrows, _ = write_pandas(cnx, df, 'customers')
 
     Args:
-        conn: Connection to be used to communicate with Snowflake.
+        conn: Connection or Cursor to be used to communicate with Snowflake.
         df: Dataframe we'd like to write back.
         table_name: Table name where we want to insert into.
         database: Database schema and table is in, if not provided the default one will be used (Default value = None).
@@ -315,7 +315,8 @@ def write_pandas(
     else:
         sql_use_logical_type = " USE_LOGICAL_TYPE = FALSE"
 
-    cursor = conn.cursor()
+    if isinstance(conn, SnowflakeConnection):
+        cursor = conn.cursor()
     stage_location = _create_temp_stage(
         cursor,
         database,
diff --git a/test/integ/pandas/test_pandas_tools.py b/test/integ/pandas/test_pandas_tools.py
index 897b0c969..f47e93617 100644
--- a/test/integ/pandas/test_pandas_tools.py
+++ b/test/integ/pandas/test_pandas_tools.py
@@ -509,6 +509,20 @@ def test_empty_dataframe_write_pandas(
         ), f"sucess: {success}, num_chunks: {num_chunks}, num_rows: {num_rows}"
 
 
+def test_cursor_write_pandas(
+    conn_cnx: Callable[..., Generator[SnowflakeConnection, None, None]],
+):
+    table_name = random_string(5, "empty_dataframe_")
+    df = pandas.DataFrame([], columns=["name", "balance"])
+    with conn_cnx() as cnx:
+        success, num_chunks, num_rows, _ = write_pandas(
+            cnx.cursor(), df, table_name, auto_create_table=True, table_type="temp"
+        )
+        assert (
+            success and num_chunks == 1 and num_rows == 0
+        ), f"sucess: {success}, num_chunks: {num_chunks}, num_rows: {num_rows}"
+
+
 @pytest.mark.parametrize(
     "database,schema,quote_identifiers,expected_location",
     [