pd.read_json  ignoring encoding='utf-8-sig'

I work with a byte stream (from Azure DataLake https://pypi.python.org/pypi/azure-datalake-store/0.0.19 which only supports byte stream) that has a UTF-8 byte order mark, and want to read it into a data frame. 

pandas.read_json fails.
For comparison, pd.read_csv(file, lines=True, encoding='utf-8-sig') works fine with a similar file

```python
import pandas as pd

def skip_utf_8_bom(file):
    bom = file.read(3)
    # print(bom)
    if bom != b'\xef\xbb\xbf': # undo read
        file.seek(len(bom), 1) 

path = 'sample-utf-8-sig.txt'

#works
with open(path, 'rb') as file:   
    skip_utf_8_bom(file)
    df = pd.read_json(file, lines=True, encoding='utf-8-sig')    
df

#fails
with open(path, 'rb') as file: 
    df = pd.read_json(file, lines=True, encoding='utf-8-sig')    
df

```

#### Problem description

pd.read_json seems not to be able to process the  encoding='utf-8-sig' parameter.
Expected behavior is that it allows to work with byte streams with an utf-8 byte order mark

[sample-utf-8-sig.txt](https://github.com/pandas-dev/pandas/files/1873467/sample-utf-8-sig.txt)
