I might be sending large jobs as aysnc jobs, although I do not know that this is actually a viable process. / P>
small run down:
- Receive the request
 - Generate query
 - Send async query
 - To end the code,
 
ID likes to do this because the longest part of the script is still waiting for a bigger response. Is doing. I do not use this answer as a part of my all inclusive streaming for anything, and I am not able to know what limitations I have received on the big job.
 Assuming you do  jobs.query ()  or  Talking about running queries through jobs.insert () , quota limits can be found on the BigQuery documentation specifically: 
concurrent rate range (only Applies to on-demand queries): [...] Maximum 20 concurrent questions .
(Some information about job size has been removed, emphasis khan)
 If you have asynchronous  jobs To use insert ()  to think about running from synchronous  jobs.query () , you can also find useful from our documentation. 
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