diff --git a/awswrangler/athena/_spark.py b/awswrangler/athena/_spark.py
index 88c83d750..e60a3befd 100644
--- a/awswrangler/athena/_spark.py
+++ b/awswrangler/athena/_spark.py
@@ -94,6 +94,7 @@ def create_spark_session(
     default_executor_dpu_size: int = 1,
     additional_configs: dict[str, Any] | None = None,
     spark_properties: dict[str, Any] | None = None,
+    notebook_version: str | None = None,
     idle_timeout: int = 15,
     boto3_session: boto3.Session | None = None,
 ) -> str:
@@ -116,8 +117,11 @@ def create_spark_session(
     spark_properties: Dict[str, Any], optional
         Contains SparkProperties in the form of key-value pairs.Specifies custom jar files and Spark properties
         for use cases like cluster encryption, table formats, and general Spark tuning.
+    notebook_version: str, optional
+        The notebook version. This value is supplied automatically for notebook sessions in the Athena console and is not required for programmatic session access.
+        The only valid notebook version is Athena notebook version 1. If you specify a value for NotebookVersion, you must also specify a value for NotebookId
     idle_timeout : int, optional
-         The idle timeout in minutes for the session. The default is 15.
+        The idle timeout in minutes for the session. The default is 15.
     boto3_session : boto3.Session(), optional
         Boto3 Session. The default boto3 session will be used if boto3_session receive None.
 
@@ -142,10 +146,13 @@ def create_spark_session(
         engine_configuration["AdditionalConfigs"] = additional_configs
     if spark_properties:
         engine_configuration["SparkProperties"] = spark_properties
+    kwargs: Any = {"SessionIdleTimeoutInMinutes": idle_timeout}
+    if notebook_version:
+        kwargs["NotebookVersion"] = notebook_version
     response = client_athena.start_session(
         WorkGroup=workgroup,
         EngineConfiguration=engine_configuration,
-        SessionIdleTimeoutInMinutes=idle_timeout,
+        **kwargs,
     )
     _logger.info("Session info:\n%s", response)
     session_id: str = response["SessionId"]
@@ -166,6 +173,7 @@ def run_spark_calculation(
     default_executor_dpu_size: int = 1,
     additional_configs: dict[str, Any] | None = None,
     spark_properties: dict[str, Any] | None = None,
+    notebook_version: str | None = None,
     idle_timeout: int = 15,
     boto3_session: boto3.Session | None = None,
 ) -> dict[str, Any]:
@@ -192,6 +200,9 @@ def run_spark_calculation(
     spark_properties: Dict[str, Any], optional
         Contains SparkProperties in the form of key-value pairs.Specifies custom jar files and Spark properties
         for use cases like cluster encryption, table formats, and general Spark tuning.
+    notebook_version: str, optional
+        The notebook version. This value is supplied automatically for notebook sessions in the Athena console and is not required for programmatic session access.
+        The only valid notebook version is Athena notebook version 1. If you specify a value for NotebookVersion, you must also specify a value for NotebookId
     idle_timeout : int, optional
         The idle timeout in minutes for the session. The default is 15.
     boto3_session : boto3.Session(), optional
@@ -221,6 +232,7 @@ def run_spark_calculation(
             default_executor_dpu_size=default_executor_dpu_size,
             additional_configs=additional_configs,
             spark_properties=spark_properties,
+            notebook_version=notebook_version,
             idle_timeout=idle_timeout,
             boto3_session=boto3_session,
         )