diff --git a/integration_tests/src/main/python/hybrid_parquet_test.py b/integration_tests/src/main/python/hybrid_parquet_test.py
index 977a7d3ab0c..9482616366d 100644
--- a/integration_tests/src/main/python/hybrid_parquet_test.py
+++ b/integration_tests/src/main/python/hybrid_parquet_test.py
@@ -227,3 +227,22 @@ def udf_fallback(s):
     assert_gpu_and_cpu_are_equal_collect(
         lambda spark: spark.read.parquet(data_path).filter("ascii(a) >= 50 and udf_fallback(a) = 'udf_100'"),
         conf=filter_split_conf)
+
+@pytest.mark.skipif(is_databricks_runtime(), reason="Hybrid feature does not support Databricks currently")
+@pytest.mark.skipif(not is_hybrid_backend_loaded(), reason="HybridScan specialized tests")
+@hybrid_test
+@allow_non_gpu(*non_utc_allow)
+def test_hybrid_parquet_filter_pushdown_timestamp(spark_tmp_path):
+    data_path = spark_tmp_path + '/PARQUET_DATA'
+    with_cpu_session(
+        lambda spark: gen_df(spark, [('a', TimestampGen(start=datetime(1900, 1, 1, tzinfo=timezone.utc)))]).write.parquet(data_path),
+        conf=rebase_write_corrected_conf)
+
+    # Timestamp is not fully supported in Hybrid Filter, so it should remain on the GPU
+    plan = with_gpu_session(
+        lambda spark: spark.read.parquet(data_path).filter(f.col("a") > f.lit(datetime(2024, 1, 1, tzinfo=timezone.utc)))._jdf.queryExecution().executedPlan(),
+        conf=filter_split_conf)
+    check_filter_pushdown(plan, pushed_exprs=[], not_pushed_exprs=['isnotnull', '>'])
+    assert_gpu_and_cpu_are_equal_collect(
+        lambda spark: spark.read.parquet(data_path).filter(f.col("a") > f.lit(datetime(2024, 1, 1, tzinfo=timezone.utc))),
+        conf=filter_split_conf)
diff --git a/sql-plugin/src/main/scala/org/apache/spark/rapids/hybrid/HybridExecutionUtils.scala b/sql-plugin/src/main/scala/org/apache/spark/rapids/hybrid/HybridExecutionUtils.scala
index 99dd09fec24..ec701957c17 100644
--- a/sql-plugin/src/main/scala/org/apache/spark/rapids/hybrid/HybridExecutionUtils.scala
+++ b/sql-plugin/src/main/scala/org/apache/spark/rapids/hybrid/HybridExecutionUtils.scala
@@ -318,8 +318,13 @@ object HybridExecutionUtils extends PredicateHelper {
     }
   }
 
+  def isTimestampCondition(expr: Expression): Boolean = {
+    expr.references.exists(attr => attr.dataType == TimestampType)
+  }
+
   def isExprSupportedByHybridScan(condition: Expression, whitelistExprsName: String): Boolean = {
     condition match {
+      case filter if isTimestampCondition(filter) => false // Timestamp is not fully supported in Hybrid Filter
       case filter if HybridExecutionUtils.supportedByHybridFilters(whitelistExprsName)
           .exists(_.isInstance(filter)) =>
         val childrenSupported = filter.children.forall(