diff --git a/astronomer/providers/core/sensors/filesystem.py b/astronomer/providers/core/sensors/filesystem.py
index 1ed91f13f..53258d5a5 100644
--- a/astronomer/providers/core/sensors/filesystem.py
+++ b/astronomer/providers/core/sensors/filesystem.py
@@ -1,7 +1,9 @@
+from __future__ import annotations
+
 import os
 import warnings
 from datetime import timedelta
-from typing import Any, Dict, Optional
+from typing import Any
 
 from airflow.hooks.filesystem import FSHook
 from airflow.sensors.filesystem import FileSensor
@@ -54,7 +56,7 @@ def execute(self, context: Context) -> None:
                 method_name="execute_complete",
             )
 
-    def execute_complete(self, context: Context, event: Optional[Dict[str, Any]]) -> None:
+    def execute_complete(self, context: Context, event: bool | None = None) -> None:
         """
         Callback for when the trigger fires - returns immediately.
         Relies on trigger to throw an exception, otherwise it assumes execution was
diff --git a/astronomer/providers/google/cloud/extractors/bigquery.py b/astronomer/providers/google/cloud/extractors/bigquery.py
index 1e72623f4..5aeda6401 100644
--- a/astronomer/providers/google/cloud/extractors/bigquery.py
+++ b/astronomer/providers/google/cloud/extractors/bigquery.py
@@ -107,7 +107,7 @@ def extract_on_complete(self, task_instance: TaskInstance) -> Optional[TaskMetad
 
         stats = BigQueryDatasetsProvider(client=self._big_query_client).get_facets(bigquery_job_id)
         inputs = stats.inputs
-        output = stats.output
+        output = stats.outputs
         run_facets = stats.run_facets
         job_facets = {}
         if isinstance(
diff --git a/tests/google/cloud/extractors/test_bigquery.py b/tests/google/cloud/extractors/test_bigquery.py
index 9b035a3fa..e558b2b2c 100644
--- a/tests/google/cloud/extractors/test_bigquery.py
+++ b/tests/google/cloud/extractors/test_bigquery.py
@@ -88,7 +88,7 @@ def test_extract_on_complete(
             job_id=job_id, error_result=False
         )
         mock_bg_dataset_provider.return_value = BigQueryFacets(
-            run_facets=RUN_FACETS, inputs=INPUT_STATS, output=OUTPUT_STATS
+            run_facets=RUN_FACETS, inputs=INPUT_STATS, outputs=OUTPUT_STATS
         )
 
         task_id = "insert_query_job"