diff --git a/airflow/models/dag.py b/airflow/models/dag.py
index dac7be010ad54..92e1a8945fd5a 100644
--- a/airflow/models/dag.py
+++ b/airflow/models/dag.py
@@ -3049,8 +3049,8 @@ def bulk_write_to_db(
         )
         query = with_row_locks(query, of=DagModel, session=session)
         orm_dags: list[DagModel] = session.scalars(query).unique().all()
-        existing_dags = {orm_dag.dag_id: orm_dag for orm_dag in orm_dags}
-        missing_dag_ids = dag_ids.difference(existing_dags)
+        existing_dags: dict[str, DagModel] = {x.dag_id: x for x in orm_dags}
+        missing_dag_ids = dag_ids.difference(existing_dags.keys())
 
         for missing_dag_id in missing_dag_ids:
             orm_dag = DagModel(dag_id=missing_dag_id)
@@ -3067,7 +3067,7 @@ def bulk_write_to_db(
         # Skip these queries entirely if no DAGs can be scheduled to save time.
         if any(dag.timetable.can_be_scheduled for dag in dags):
             # Get the latest automated dag run for each existing dag as a single query (avoid n+1 query)
-            query = cls._get_latest_runs_query(existing_dags, session)
+            query = cls._get_latest_runs_query(dags=list(existing_dags.keys()))
             latest_runs = {run.dag_id: run for run in session.scalars(query)}
 
             # Get number of active dagruns for all dags we are processing as a single query.
@@ -3240,16 +3240,15 @@ def bulk_write_to_db(
             cls.bulk_write_to_db(dag.subdags, processor_subdir=processor_subdir, session=session)
 
     @classmethod
-    def _get_latest_runs_query(cls, dags, session) -> Query:
+    def _get_latest_runs_query(cls, dags: list[str]) -> Query:
         """
         Query the database to retrieve the last automated run for each dag.
 
         :param dags: dags to query
-        :param session: sqlalchemy session object
         """
         if len(dags) == 1:
             # Index optimized fast path to avoid more complicated & slower groupby queryplan
-            existing_dag_id = list(dags)[0].dag_id
+            existing_dag_id = dags[0]
             last_automated_runs_subq = (
                 select(func.max(DagRun.execution_date).label("max_execution_date"))
                 .where(
diff --git a/tests/models/test_dag.py b/tests/models/test_dag.py
index 7c337ed965c28..1f70ba051af09 100644
--- a/tests/models/test_dag.py
+++ b/tests/models/test_dag.py
@@ -4140,7 +4140,7 @@ def test_validate_setup_teardown_trigger_rule(self):
 def test_get_latest_runs_query_one_dag(dag_maker, session):
     with dag_maker(dag_id="dag1") as dag1:
         ...
-    query = DAG._get_latest_runs_query(dags=[dag1], session=session)
+    query = DAG._get_latest_runs_query(dags=[dag1.dag_id])
     actual = [x.strip() for x in str(query.compile()).splitlines()]
     expected = [
         "SELECT dag_run.id, dag_run.dag_id, dag_run.execution_date, dag_run.data_interval_start, dag_run.data_interval_end",
@@ -4157,7 +4157,7 @@ def test_get_latest_runs_query_two_dags(dag_maker, session):
         ...
     with dag_maker(dag_id="dag2") as dag2:
         ...
-    query = DAG._get_latest_runs_query(dags=[dag1, dag2], session=session)
+    query = DAG._get_latest_runs_query(dags=[dag1.dag_id, dag2.dag_id])
     actual = [x.strip() for x in str(query.compile()).splitlines()]
     print("\n".join(actual))
     expected = [