diff --git a/tests/flytekit/integration/remote/test_remote.py b/tests/flytekit/integration/remote/test_remote.py
index f20a33aea8..8736c7b2ef 100644
--- a/tests/flytekit/integration/remote/test_remote.py
+++ b/tests/flytekit/integration/remote/test_remote.py
@@ -14,7 +14,7 @@
 from urllib.parse import urlparse
 import uuid
 import pytest
-import mock
+from unittest import mock
 
 from flytekit import LaunchPlan, kwtypes, WorkflowExecutionPhase
 from flytekit.configuration import Config, ImageConfig, SerializationSettings
@@ -833,3 +833,21 @@ def test_open_ff():
     url = urlparse(remote_file_path)
     bucket, key = url.netloc, url.path.lstrip("/")
     file_transfer.delete_file(bucket=bucket, key=key)
+
+
+def test_attr_access_sd():
+    """Test accessing StructuredDataset attribute from a dataclass."""
+    # Upload a file to minio s3 bucket
+    file_transfer = SimpleFileTransfer()
+    remote_file_path = file_transfer.upload_file(file_type="parquet")
+
+    execution_id = run("attr_access_sd.py", "wf", "--uri", remote_file_path)
+    remote = FlyteRemote(Config.auto(config_file=CONFIG), PROJECT, DOMAIN)
+    execution = remote.fetch_execution(name=execution_id)
+    execution = remote.wait(execution=execution, timeout=datetime.timedelta(minutes=5))
+    assert execution.closure.phase == WorkflowExecutionPhase.SUCCEEDED, f"Execution failed with phase: {execution.closure.phase}"
+
+    # Delete the remote file to free the space
+    url = urlparse(remote_file_path)
+    bucket, key = url.netloc, url.path.lstrip("/")
+    file_transfer.delete_file(bucket=bucket, key=key)
diff --git a/tests/flytekit/integration/remote/utils.py b/tests/flytekit/integration/remote/utils.py
index dadc8c6530..c16a0d0f4d 100644
--- a/tests/flytekit/integration/remote/utils.py
+++ b/tests/flytekit/integration/remote/utils.py
@@ -84,6 +84,9 @@ def _dump_tmp_file(self, file_type: str, tmp_dir: str) -> str:
             tmp_file_path = pathlib.Path(tmp_dir) / "test.json"
             with open(tmp_file_path, "w") as f:
                 json.dump(d, f)
+        elif file_type == "parquet":
+            # Because `upload_file` accepts a single file only, we specify 00000 to make it a single file
+            tmp_file_path = pathlib.Path(__file__).parent / "workflows/basic/data/df.parquet/00000"
 
         return tmp_file_path
 
diff --git a/tests/flytekit/integration/remote/workflows/basic/attr_access_sd.py b/tests/flytekit/integration/remote/workflows/basic/attr_access_sd.py
new file mode 100644
index 0000000000..9d01926081
--- /dev/null
+++ b/tests/flytekit/integration/remote/workflows/basic/attr_access_sd.py
@@ -0,0 +1,46 @@
+"""
+Test accessing StructuredDataset attribute from a dataclass.
+"""
+from dataclasses import dataclass
+
+import pandas as pd
+from flytekit import task, workflow
+from flytekit.types.structured import StructuredDataset
+
+
+@dataclass
+class DC:
+    sd: StructuredDataset
+
+
+@task
+def create_dc(uri: str) -> DC:
+    """Create a dataclass with a StructuredDataset attribute.
+
+    Args:
+        uri: File URI.
+
+    Returns:
+        dc: A dataclass with a StructuredDataset attribute.
+    """
+    dc = DC(sd=StructuredDataset(uri=uri, file_format="parquet"))
+
+    return dc
+
+
+@task
+def read_sd(sd: StructuredDataset) -> StructuredDataset:
+    """Read input StructuredDataset."""
+    print("sd:", sd.open(pd.DataFrame).all())
+
+    return sd
+
+
+@workflow
+def wf(uri: str) -> None:
+    dc = create_dc(uri=uri)
+    read_sd(sd=dc.sd)
+
+
+if __name__ == "__main__":
+    wf(uri="tests/flytekit/integration/remote/workflows/basic/data/df.parquet")