diff --git a/Nth_Highest_Salary.py b/Nth_Highest_Salary.py
new file mode 100644
index 0000000..cbbebc2
--- /dev/null
+++ b/Nth_Highest_Salary.py
@@ -0,0 +1,17 @@
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    result_set = set()
+    for i in range(len(employee)):
+        salary = employee['salary'][i]
+        result_set.add(salary)
+    result =[]
+    for element in result_set:
+        result.append(element)
+
+    result.sort(reverse = True)
+    #invalid
+    if N > len(result) or N <= 0:
+        return pd.DataFrame({f'getNthHighestSalary({N})' : [None]})
+
+    return pd.DataFrame({f'getNthHighestSalary({N})' : [result[N-1]]})
\ No newline at end of file
diff --git a/Second_Highest_Salary.py b/Second_Highest_Salary.py
new file mode 100644
index 0000000..df822b9
--- /dev/null
+++ b/Second_Highest_Salary.py
@@ -0,0 +1,18 @@
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    all_sal = set()
+    for i in range(len(employee)):
+        sal = employee['salary'][i]
+        all_sal.add(sal)
+    
+    result =[]
+    for salary in all_sal:
+        result.append(salary)
+    
+    result.sort(reverse = True)
+    if len(result) < 2:
+        return pd.DataFrame([None] , columns =['SecondHighestSalary'])
+    return pd.DataFrame([result[1]] , columns = ['SecondHighestSalary'])
+
+    
\ No newline at end of file