diff --git a/modin/experimental/engines/omnisci_on_ray/io.py b/modin/experimental/engines/omnisci_on_ray/io.py
index 725cf3288fd..6fa18dabf0c 100644
--- a/modin/experimental/engines/omnisci_on_ray/io.py
+++ b/modin/experimental/engines/omnisci_on_ray/io.py
@@ -186,6 +186,9 @@ def read_csv(
                 null_values=None,
                 true_values=None,
                 false_values=None,
+                # timestamp fields should be handled as strings if parse_dates
+                # didn't passed explicitly as an array or a dict
+                timestamp_parsers=[""] if isinstance(parse_dates, bool) else None,
                 strings_can_be_null=None,
                 include_columns=None,
                 include_missing_columns=None,
diff --git a/modin/experimental/engines/omnisci_on_ray/test/test_dataframe.py b/modin/experimental/engines/omnisci_on_ray/test/test_dataframe.py
index af381dab572..aad5cef9143 100644
--- a/modin/experimental/engines/omnisci_on_ray/test/test_dataframe.py
+++ b/modin/experimental/engines/omnisci_on_ray/test/test_dataframe.py
@@ -32,6 +32,7 @@
     test_data_keys,
     generate_multiindex,
     eval_general,
+    eval_io,
 )
 
 
@@ -116,6 +117,7 @@ def run_modin(
         df_equals(ref_res, exp_res)
 
 
+@pytest.mark.usefixtures("TestReadCSVFixture")
 class TestCSV:
     root = os.path.abspath(__file__ + "/.." * 6)  # root of modin repo
 
@@ -302,6 +304,30 @@ def test_float32(self):
 
         df_equals(modin_df, pandas_df)
 
+    # Datetime Handling tests
+    @pytest.mark.parametrize("engine", [None, "arrow"])
+    @pytest.mark.parametrize(
+        "parse_dates",
+        [
+            True,
+            False,
+            ["col2"],
+        ],
+    )
+    def test_read_csv_datetime(
+        self,
+        engine,
+        parse_dates,
+    ):
+
+        eval_io(
+            fn_name="read_csv",
+            md_extra_kwargs={"engine": engine},
+            # read_csv kwargs
+            filepath_or_buffer=pytest.csvs_names["test_read_csv_regular"],
+            parse_dates=parse_dates,
+        )
+
 
 class TestMasks:
     data = {
diff --git a/modin/pandas/test/utils.py b/modin/pandas/test/utils.py
index 89c43937793..9e4b33b95e9 100644
--- a/modin/pandas/test/utils.py
+++ b/modin/pandas/test/utils.py
@@ -648,6 +648,7 @@ def eval_general(
     check_exception_type=True,
     raising_exceptions=None,
     check_kwargs_callable=True,
+    md_extra_kwargs=None,
     **kwargs,
 ):
     if raising_exceptions:
@@ -689,6 +690,10 @@ def execute_callable(fn, inplace=False, md_kwargs={}, pd_kwargs={}):
         md_kwargs[key] = md_value
         pd_kwargs[key] = pd_value
 
+        if md_extra_kwargs:
+            assert isinstance(md_extra_kwargs, dict)
+            md_kwargs.update(md_extra_kwargs)
+
     values = execute_callable(
         operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
     )
@@ -704,6 +709,7 @@ def eval_io(
     raising_exceptions=io_ops_bad_exc,
     check_kwargs_callable=True,
     modin_warning=None,
+    md_extra_kwargs=None,
     *args,
     **kwargs,
 ):
@@ -726,7 +732,10 @@ def eval_io(
         Exceptions that should be raised even if they are raised
         both by Pandas and Modin (check evaluated only if
         `check_exception_type` passed as `True`).
-    modin_warning: Warning that should be raised by Modin.
+    modin_warning: obj
+        Warning that should be raised by Modin.
+    md_extra_kwargs: dict
+        Modin operation specific kwargs.
     """
 
     def applyier(module, *args, **kwargs):
@@ -743,6 +752,7 @@ def call_eval_general():
             check_exception_type=check_exception_type,
             raising_exceptions=raising_exceptions,
             check_kwargs_callable=check_kwargs_callable,
+            md_extra_kwargs=md_extra_kwargs,
             *args,
             **kwargs,
         )