diff --git a/dataproc/snippets/noxfile_config.py b/dataproc/snippets/noxfile_config.py
index 084fb0d01db..99f474dc0b6 100644
--- a/dataproc/snippets/noxfile_config.py
+++ b/dataproc/snippets/noxfile_config.py
@@ -22,7 +22,7 @@
 
 TEST_CONFIG_OVERRIDE = {
     # You can opt out from the test for specific Python versions.
-    "ignored_versions": ["2.7", "3.7", "3.9", "3.10", "3.11"],
+    "ignored_versions": ["2.7", "3.7", "3.8", "3.10", "3.11", "3.12", "3.13"],
     # Old samples are opted out of enforcing Python type hints
     # All new samples should feature them
     # "enforce_type_hints": True,
diff --git a/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster.py b/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster.py
new file mode 100644
index 00000000000..45334c82ee0
--- /dev/null
+++ b/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster.py
@@ -0,0 +1,107 @@
+#!/usr/bin/env python
+
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# This sample walks a user through submitting a Spark job to a
+# Dataproc driver node group cluster using the Dataproc
+# client library.
+
+# Usage:
+#    python submit_pyspark_job_to_driver_node_group_cluster.py \
+#        --project_id <PROJECT_ID> --region <REGION> \
+#        --cluster_name <CLUSTER_NAME>
+
+# [START dataproc_submit_pyspark_job_to_driver_node_group_cluster]
+
+import re
+
+from google.cloud import dataproc_v1 as dataproc
+from google.cloud import storage
+
+
+def submit_job(project_id, region, cluster_name):
+    """Submits a PySpark job to a Dataproc cluster with a driver node group.
+
+    Args:
+        project_id (str): The ID of the Google Cloud project.
+        region (str): The region where the Dataproc cluster is located.
+        cluster_name (str): The name of the Dataproc cluster.
+    """
+    # Create the job client.
+    job_client = dataproc.JobControllerClient(
+        client_options={"api_endpoint": f"{region}-dataproc.googleapis.com:443"}
+    )
+
+    driver_scheduling_config = dataproc.DriverSchedulingConfig(
+        memory_mb=2048,  # Example memory in MB
+        vcores=2,  # Example number of vcores
+    )
+
+    # Create the job config. The main Python file URI points to the script in
+    # a Google Cloud Storage bucket.
+    job = {
+        "placement": {"cluster_name": cluster_name},
+        "pyspark_job": {
+            "main_python_file_uri": "gs://dataproc-examples/pyspark/hello-world/hello-world.py"
+        },
+        "driver_scheduling_config": driver_scheduling_config,
+    }
+
+    operation = job_client.submit_job_as_operation(
+        request={"project_id": project_id, "region": region, "job": job}
+    )
+    response = operation.result()
+
+    # Dataproc job output gets saved to the Google Cloud Storage bucket
+    # allocated to the job. Use a regex to obtain the bucket and blob info.
+    matches = re.match("gs://(.*?)/(.*)", response.driver_output_resource_uri)
+    if not matches:
+        raise ValueError(
+            f"Unexpected driver output URI: {response.driver_output_resource_uri}"
+        )
+
+    output = (
+        storage.Client()
+        .get_bucket(matches.group(1))
+        .blob(f"{matches.group(2)}.000000000")
+        .download_as_bytes()
+        .decode("utf-8")
+    )
+
+    print(f"Job finished successfully: {output}")
+
+
+# [END dataproc_submit_pyspark_job_to_driver_node_group_cluster]
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(
+        description="Submits a Spark job to a Dataproc driver node group cluster."
+    )
+    parser.add_argument(
+        "--project_id", help="The Google Cloud project ID.", required=True
+    )
+    parser.add_argument(
+        "--region",
+        help="The Dataproc region where the cluster is located.",
+        required=True,
+    )
+    parser.add_argument(
+        "--cluster_name", help="The name of the Dataproc cluster.", required=True
+    )
+
+    args = parser.parse_args()
+    submit_job(args.project_id, args.region, args.cluster_name)
diff --git a/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster_test.py b/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster_test.py
new file mode 100644
index 00000000000..38e3ebb24e3
--- /dev/null
+++ b/dataproc/snippets/submit_pyspark_job_to_driver_node_group_cluster_test.py
@@ -0,0 +1,88 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import subprocess
+import uuid
+
+import backoff
+from google.api_core.exceptions import (
+    Aborted,
+    InternalServerError,
+    NotFound,
+    ServiceUnavailable,
+)
+from google.cloud import dataproc_v1 as dataproc
+
+import submit_pyspark_job_to_driver_node_group_cluster
+
+PROJECT_ID = os.environ["GOOGLE_CLOUD_PROJECT"]
+REGION = "us-central1"
+CLUSTER_NAME = f"py-ps-test-{str(uuid.uuid4())}"
+
+cluster_client = dataproc.ClusterControllerClient(
+    client_options={"api_endpoint": f"{REGION}-dataproc.googleapis.com:443"}
+)
+
+
+@backoff.on_exception(backoff.expo, (Exception), max_tries=5)
+def teardown():
+    try:
+        operation = cluster_client.delete_cluster(
+            request={
+                "project_id": PROJECT_ID,
+                "region": REGION,
+                "cluster_name": CLUSTER_NAME,
+            }
+        )
+        # Wait for cluster to delete
+        operation.result()
+    except NotFound:
+        print("Cluster already deleted")
+
+
+@backoff.on_exception(
+    backoff.expo,
+    (
+        InternalServerError,
+        ServiceUnavailable,
+        Aborted,
+    ),
+    max_tries=5,
+)
+def test_workflows(capsys):
+    # Setup driver node group cluster. TODO: cleanup b/424371877
+    command = f"""gcloud dataproc clusters create {CLUSTER_NAME} \
+            --region {REGION} \
+            --project {PROJECT_ID} \
+            --driver-pool-size=1 \
+            --driver-pool-id=pytest"""
+
+    output = subprocess.run(
+        command,
+        capture_output=True,
+        shell=True,
+        check=True,
+    )
+    print(output)
+
+    # Wrapper function for client library function
+    submit_pyspark_job_to_driver_node_group_cluster.submit_job(
+        PROJECT_ID, REGION, CLUSTER_NAME
+    )
+
+    out, _ = capsys.readouterr()
+    assert "Job finished successfully" in out
+
+    # cluster deleted in teardown()