Integration

Lever → BigQuery integration

Sync Lever ATS data to BigQuery for recruiting-pipeline analytics and DEI funnel reporting. You describe the outcome; our platform AI drafts the field mapping, and we build, deploy, and run it — flat fee.

Tell us what to connect →Map it yourself, free →
✓Flat monthly fee

No per-task pricing. Alerts at 70/85/100% — no surprise overage bills.

✓We build, run & monitor

You describe the outcome; we deploy it in our cloud and watch it.

✓Any source to any target

Connectors built on demand — no fixed catalog to stay inside.

✓Reviewed before it runs

You approve the AI-drafted mapping before anything goes live.

How it works — AI-first

  1. 1

    Describe the outcome

    Say what you want connected between Lever and BigQuery, in plain language.

  2. 2

    AI drafts the mapping

    The wizard auto-drafts every field, typed and previewed on real data, with plain-English rules and validation.

  3. 3

    We build, deploy, run

    We build it, deploy in our cloud, and monitor it — you watch a live dashboard, for a flat fee.

What a Lever → BigQuery integration typically syncs

For most Lever–BigQuery builds we map Opportunities, candidates, postings, stages, applications, and feedback forms. — with the field-by-field mapping AI-drafted and reviewed with you. Sync Lever ATS data to BigQuery for recruiting-pipeline analytics and DEI funnel reporting. Add the reverse direction, per-field transforms (formats, defaults, value lookups), and a record-level filter so only the right records move.

What we handle for Lever → BigQuery

Lever models a person as an Opportunity (a candidate-for-a-role), so the same human can appear as several opportunities and naive counts overstate volume. The API paginates with an offset cursor, archived/hired states are captured as archive reasons rather than a clean stage, and stage history needs the stage-change endpoint. Our platform AI drafts these rules and previews them on your real data, so you review the edge cases before anything runs.

Why teams pick Weldforge for Lever ↔ BigQuery

  • ✓AI-drafted field mapping — typed, previewed on your real data, validated.
  • ✓Plain-English transforms, defaults, conditionals — no code on your side.
  • ✓Any direction, collections and nested objects, record-level sync filters.
  • ✓Flat monthly fee with proactive overage alerts — never per-task.

Lever to BigQuery — FAQ

How do I integrate Lever with BigQuery?

Describe the outcome in plain language on our intake. The platform AI drafts the field-by-field mapping between Lever and BigQuery, you review it, and we build, deploy, and run it — no code or manual spec.

How fast can Lever to BigQuery go live?

Most Lever–BigQuery builds go live in one to three weeks because the mapping is AI-drafted and reviewed before anything is built.

Is two-way sync supported?

Yes — add the reverse as a second flow. The mapping wizard supports any direction, per-field rules, defaults, collections, nested objects, and validation.

What does it cost?

A flat monthly fee with proactive overage alerts — no per-task pricing. You see scope and price before anything starts.

Ready to connect Lever to BigQuery?

Describe it once. AI drafts the mapping; we build, deploy, and run it for a flat fee.

Tell us what to connect →Try the mapping wizard →

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