diff --git a/python/dask_cudf/dask_cudf/backends.py b/python/dask_cudf/dask_cudf/backends.py
index 378f46de22c..2470b4d50f1 100644
--- a/python/dask_cudf/dask_cudf/backends.py
+++ b/python/dask_cudf/dask_cudf/backends.py
@@ -8,6 +8,7 @@
 import pandas as pd
 import pyarrow as pa
 from pandas.api.types import is_scalar
+from pandas.core.tools.datetimes import is_datetime64tz_dtype
 
 import dask.dataframe as dd
 from dask import config
@@ -122,6 +123,11 @@ def _get_non_empty_data(s):
         data = cudf.core.column.as_column(data, dtype=s.dtype)
     elif is_string_dtype(s.dtype):
         data = pa.array(["cat", "dog"])
+    elif is_datetime64tz_dtype(s.dtype):
+        from cudf.utils.dtypes import get_time_unit
+
+        data = cudf.date_range("2001-01-01", periods=2, freq=get_time_unit(s))
+        data = data.tz_localize(str(s.dtype.tz))._column
     else:
         if pd.api.types.is_numeric_dtype(s.dtype):
             data = cudf.core.column.as_column(
diff --git a/python/dask_cudf/dask_cudf/tests/test_accessor.py b/python/dask_cudf/dask_cudf/tests/test_accessor.py
index 6b1627c91e8..bea0cbb48ae 100644
--- a/python/dask_cudf/dask_cudf/tests/test_accessor.py
+++ b/python/dask_cudf/dask_cudf/tests/test_accessor.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2022, NVIDIA CORPORATION.
+# Copyright (c) 2019-2023, NVIDIA CORPORATION.
 
 import numpy as np
 import pandas as pd
@@ -7,7 +7,7 @@
 
 from dask import dataframe as dd
 
-from cudf import DataFrame, Series
+from cudf import DataFrame, Series, date_range
 from cudf.testing._utils import assert_eq, does_not_raise
 
 import dask_cudf as dgd
@@ -527,3 +527,33 @@ def test_struct_explode(data):
     got = dgd.from_cudf(Series(data), 2).struct.explode()
     # Output index will not agree for >1 partitions
     assert_eq(expect, got.compute().reset_index(drop=True))
+
+
+def test_tz_localize():
+    data = Series(date_range("2000-04-01", "2000-04-03", freq="H"))
+    expect = data.dt.tz_localize(
+        "US/Eastern", ambiguous="NaT", nonexistent="NaT"
+    )
+    got = dgd.from_cudf(data, 2).dt.tz_localize(
+        "US/Eastern", ambiguous="NaT", nonexistent="NaT"
+    )
+    dd.assert_eq(expect, got)
+
+    expect = expect.dt.tz_localize(None)
+    got = got.dt.tz_localize(None)
+    dd.assert_eq(expect, got)
+
+
+@pytest.mark.parametrize(
+    "data",
+    [
+        date_range("2000-04-01", "2000-04-03", freq="H").tz_localize("UTC"),
+        date_range("2000-04-01", "2000-04-03", freq="H").tz_localize(
+            "US/Eastern"
+        ),
+    ],
+)
+def test_tz_convert(data):
+    expect = Series(data).dt.tz_convert("US/Pacific")
+    got = dgd.from_cudf(Series(data), 2).dt.tz_convert("US/Pacific")
+    dd.assert_eq(expect, got)