Two-way sync
Changes in BigQuery or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and Jobvite in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Jobvite is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in BigQuery next to everything else the company measures.
Stacksync syncs Requisition (Job), Application, Workflow Status, New Hire from Jobvite into tables in BigQuery continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in BigQuery, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Jobvite where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in BigQuery gives you a durable, queryable record of how Jobvite's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in BigQuery sync back onto the matching records in Jobvite, where the HR team sees them in the system they already use.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| BigQuery objects | Jobvite objects | How this pairing syncs | |
|---|---|---|---|
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. | Partitioned tables is specific to BigQuery and Employee to Jobvite — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. | Clustered tables is specific to BigQuery and Attachment to Jobvite — each maps to any object or custom field on the other side. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Offer Offer state tied to an application (extended, accepted, declined); read out for offer-acceptance reporting and written to downstream comp or HR systems. | Datasets is specific to BigQuery and Offer to Jobvite — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Candidate Read from the candidate feed (GET /candidate) and written back via POST /candidate/updateCandidates to change status, notes, and disposition on each record. | Projects is specific to BigQuery and Candidate to Jobvite — each maps to any object or custom field on the other side. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Requisition (Job) Job openings created or updated through POST /job and read from GET /jobFeed; maps to opening tables in an ATS reporting warehouse. | Tables is specific to BigQuery and Requisition (Job) to Jobvite — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
DeliveryEach detected change is written to Jobvite through its API, with automatic retries and rate-limit backoff.
DetectionJobvite notifies Stacksync of record changes through webhook events. A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events.
DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Jobvite connection.
Changes in BigQuery or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Jobvite data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Jobvite record.
Track your BigQuery ⇄ Jobvite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Jobvite.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate BigQuery and Jobvite with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the BigQuery and Jobvite objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Jobvite: authenticate both systems, choose the objects to sync (such as BigQuery's Partitioned tables and Clustered tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the BigQuery side: Tables, Partitioned tables, Clustered tables, Datasets, plus custom fields where BigQuery exposes them. On the Jobvite side: Requisition (Job), Application, Workflow Status, New Hire. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for BigQuery and Jobvite: Fresh data instead of last night's load; Queryable history for planning and audit; Write-back of computed values. Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. Jobvite: REST API (JSON) with candidate, requisition (job), and employee feed endpoints under https://api.jobvite.com/{version}. Authentication: API key (api) and secret (sc) plus company ID (companyId), sent in request headers since Jobvite's April 1, 2024 move from URL-query to header-based auth. Credentials are provisioned per customer by Jobvite Support. Stacksync manages authentication, retries, and rate limits on both sides.
BigQuery: BigQuery is serverless: there are no clusters or warehouses to size, and storage and compute are billed separately. Jobvite: Candidate writes go through POST /candidate/updateCandidates rather than per-field PATCH, so status and disposition changes are submitted as candidate update payloads. Stacksync's field mapping accounts for these differences between BigQuery and Jobvite without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 542 integrations available for BigQuery and Jobvite.