diff --git a/news/2 Fixes/10280.md b/news/2 Fixes/10280.md
new file mode 100644
index 000000000000..64b59bc50cad
--- /dev/null
+++ b/news/2 Fixes/10280.md	
@@ -0,0 +1 @@
+Fix problem with Data Viewer not working when builtin functions are overridden (like max).
\ No newline at end of file
diff --git a/pythonFiles/datascience/getJupyterVariableDataFrameInfo.py b/pythonFiles/datascience/getJupyterVariableDataFrameInfo.py
index 6a2a2bba9a0f..cf99979c47ba 100644
--- a/pythonFiles/datascience/getJupyterVariableDataFrameInfo.py
+++ b/pythonFiles/datascience/getJupyterVariableDataFrameInfo.py
@@ -2,6 +2,7 @@
 import json as _VSCODE_json
 import pandas as _VSCODE_pd
 import pandas.io.json as _VSCODE_pd_json
+import builtins as _VSCODE_builtins
 
 # _VSCode_sub_supportsDataExplorer will contain our list of data explorer supported types
 _VSCode_supportsDataExplorer = "['list', 'Series', 'dict', 'ndarray', 'DataFrame']"
@@ -21,7 +22,7 @@ def _VSCODE_getRowCount(var):
             return 0
     elif hasattr(var, "__len__"):
         try:
-            return len(var)
+            return _VSCODE_builtins.len(var)
         except TypeError:
             return 0
 
@@ -34,7 +35,7 @@ def _VSCODE_getRowCount(var):
     del _VSCODE_targetVariable
 else:
     del _VSCode_supportsDataExplorer
-    _VSCODE_evalResult = eval(_VSCODE_targetVariable["name"])
+    _VSCODE_evalResult = _VSCODE_builtins.eval(_VSCODE_targetVariable["name"])
 
     # Figure out shape if not already there. Use the shape to compute the row count
     _VSCODE_targetVariable["rowCount"] = _VSCODE_getRowCount(_VSCODE_evalResult)
@@ -76,7 +77,7 @@ def _VSCODE_getRowCount(var):
 
     # Compute the index column. It may have been renamed
     _VSCODE_indexColumn = _VSCODE_df.index.name if _VSCODE_df.index.name else "index"
-    _VSCODE_columnTypes = list(_VSCODE_df.dtypes)
+    _VSCODE_columnTypes = _VSCODE_builtins.list(_VSCODE_df.dtypes)
     del _VSCODE_df
 
     # Make sure the index column exists
@@ -86,7 +87,9 @@ def _VSCODE_getRowCount(var):
 
     # Then loop and generate our output json
     _VSCODE_columns = []
-    for _VSCODE_n in range(0, len(_VSCODE_columnNames)):
+    for _VSCODE_n in _VSCODE_builtins.range(
+        0, _VSCODE_builtins.len(_VSCODE_columnNames)
+    ):
         _VSCODE_column_type = _VSCODE_columnTypes[_VSCODE_n]
         _VSCODE_column_name = str(_VSCODE_columnNames[_VSCODE_n])
         _VSCODE_colobj = {}
@@ -114,3 +117,4 @@ def _VSCODE_getRowCount(var):
     del _VSCODE_json
     del _VSCODE_pd
     del _VSCODE_pd_json
+    del _VSCODE_builtins
diff --git a/pythonFiles/datascience/getJupyterVariableDataFrameRows.py b/pythonFiles/datascience/getJupyterVariableDataFrameRows.py
index 697cc14ad1b6..b6f3ebe42726 100644
--- a/pythonFiles/datascience/getJupyterVariableDataFrameRows.py
+++ b/pythonFiles/datascience/getJupyterVariableDataFrameRows.py
@@ -2,16 +2,19 @@
 import json as _VSCODE_json
 import pandas as _VSCODE_pd
 import pandas.io.json as _VSCODE_pd_json
+import builtins as _VSCODE_builtins
 
 # In IJupyterVariables.getValue this '_VSCode_JupyterTestValue' will be replaced with the json stringified value of the target variable
 # Indexes off of _VSCODE_targetVariable need to index types that are part of IJupyterVariable
 _VSCODE_targetVariable = _VSCODE_json.loads("""_VSCode_JupyterTestValue""")
-_VSCODE_evalResult = eval(_VSCODE_targetVariable["name"])
+_VSCODE_evalResult = _VSCODE_builtins.eval(_VSCODE_targetVariable["name"])
 
 # _VSCode_JupyterStartRow and _VSCode_JupyterEndRow should be replaced dynamically with the literals
 # for our start and end rows
-_VSCODE_startRow = max(_VSCode_JupyterStartRow, 0)
-_VSCODE_endRow = min(_VSCode_JupyterEndRow, _VSCODE_targetVariable["rowCount"])
+_VSCODE_startRow = _VSCODE_builtins.max(_VSCode_JupyterStartRow, 0)
+_VSCODE_endRow = _VSCODE_builtins.min(
+    _VSCode_JupyterEndRow, _VSCODE_targetVariable["rowCount"]
+)
 
 # Assume we have a dataframe. If not, turn our eval result into a dataframe
 _VSCODE_df = _VSCODE_evalResult
@@ -46,3 +49,4 @@
 del _VSCODE_json
 del _VSCODE_pd
 del _VSCODE_pd_json
+del _VSCODE_builtins
diff --git a/pythonFiles/datascience/getJupyterVariableList.py b/pythonFiles/tests/ipython/getJupyterVariableList.py
similarity index 100%
rename from pythonFiles/datascience/getJupyterVariableList.py
rename to pythonFiles/tests/ipython/getJupyterVariableList.py
diff --git a/pythonFiles/datascience/getJupyterVariableValue.py b/pythonFiles/tests/ipython/getJupyterVariableValue.py
similarity index 100%
rename from pythonFiles/datascience/getJupyterVariableValue.py
rename to pythonFiles/tests/ipython/getJupyterVariableValue.py
diff --git a/pythonFiles/tests/ipython/scripts.py b/pythonFiles/tests/ipython/scripts.py
index 4fe5c8473485..b36ee07ff430 100644
--- a/pythonFiles/tests/ipython/scripts.py
+++ b/pythonFiles/tests/ipython/scripts.py
@@ -45,9 +45,7 @@ def execute_script(file, replace_dict=dict([])):
 
 def get_variables(capsys):
     path = os.path.dirname(os.path.abspath(__file__))
-    file = os.path.abspath(
-        os.path.join(path, "../../datascience/getJupyterVariableList.py")
-    )
+    file = os.path.abspath(os.path.join(path, "./getJupyterVariableList.py"))
     if execute_script(file):
         read_out = capsys.readouterr()
         return json.loads(read_out.out)
@@ -64,9 +62,7 @@ def find_variable_json(varList, varName):
 def get_variable_value(variables, name, capsys):
     varJson = find_variable_json(variables, name)
     path = os.path.dirname(os.path.abspath(__file__))
-    file = os.path.abspath(
-        os.path.join(path, "../../datascience/getJupyterVariableValue.py")
-    )
+    file = os.path.abspath(os.path.join(path, "./getJupyterVariableValue.py"))
     keys = dict([("_VSCode_JupyterTestValue", json.dumps(varJson))])
     if execute_script(file, keys):
         read_out = capsys.readouterr()