The invention relates to a distributed data integration job scheduling method and device. The method aims at a special scene possibly faced by data integration. A job scheduling device is responsiblefor issuing the data integration job to the job operation device, and the job operation device receives the scheduling task, starts job execution, feeds back job operation state information to the jobmanagement module, feeds back working node computing resources to the resource scheduling module, and feeds back lost or fault information to the job preloading module. The method has the following comprehensive characteristics: (1) high availability, fault tolerance and weak consistency; (2) a low delay characteristic for quasi-real-time job scheduling; (3) multi-tenant concurrency control oriented to the cloud service application; (4) computing resource isolation and multi-job parallel scheduling; and (5) a priority scheduling mechanism.