Docs / Data sources / Lever

Lever

Business software

Built when you ask for it

Sync Lever candidate, posting, and interview data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The Lever connector syncs your recruiting data into analytics-ready tables in your data warehouse. Pull candidates, postings, interviews, offers, and stages from the Lever API, with Ingest handling auth, pagination, and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Candidates
  • Postings
  • Interviews
  • Offers
  • Stages

How it gets built

  1. Choose Lever when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Lever's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Lever itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

API key (Basic auth) or OAuth2. Generate an API key from the Integrations and API page in Lever Settings.

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a Lever connector?
Not as a finished connector yet. Ingest builds it from Lever's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Lever data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

Lever API documentation: https://hire.lever.co/developer/documentation

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.

Request Lever