diff --git a/integration_tests/run_pyspark_from_build.sh b/integration_tests/run_pyspark_from_build.sh
index 922cad2dcdd..d6403119779 100755
--- a/integration_tests/run_pyspark_from_build.sh
+++ b/integration_tests/run_pyspark_from_build.sh
@@ -298,7 +298,7 @@ EOF
     fi
 
     # Set a seed to be used in the tests, for datagen
-    export SPARK_RAPIDS_TEST_DATAGEN_SEED=${SPARK_RAPIDS_TEST_DATAGEN_SEED:-`date +%s`}
+    export SPARK_RAPIDS_TEST_DATAGEN_SEED=${SPARK_RAPIDS_TEST_DATAGEN_SEED:-${DATAGEN_SEED:-`date +%s`}}
     echo "SPARK_RAPIDS_TEST_DATAGEN_SEED used: $SPARK_RAPIDS_TEST_DATAGEN_SEED"
 
     # Set a seed to be used to pick random tests to inject with OOM
diff --git a/integration_tests/src/main/python/arithmetic_ops_test.py b/integration_tests/src/main/python/arithmetic_ops_test.py
index a7ab7b70386..cb3c4ebd151 100644
--- a/integration_tests/src/main/python/arithmetic_ops_test.py
+++ b/integration_tests/src/main/python/arithmetic_ops_test.py
@@ -572,6 +572,7 @@ def test_sqrt(data_gen):
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : unary_op_df(spark, data_gen).selectExpr('sqrt(a)'))
 
+@datagen_overrides(seed=0, reason='https://github.com/NVIDIA/spark-rapids/issues/9744')
 @approximate_float
 @pytest.mark.parametrize('data_gen', double_gens, ids=idfn)
 def test_hypot(data_gen):