BambooHR integration

BambooHR data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.employees
type: ingestr
parameters:
  source_connection: bamboohr
  source_table: 'employees'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/bamboohr.asset.yml

  1. extract · BambooHR employeesincremental
  2. load · snowflake raw.employeesmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

HR software for small and medium businesses with employee records, time-off tracking, onboarding, and performance management.

  1. 01

    Add a BambooHR connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
BambooHR API key
company_domain
Your BambooHR subdomain

Tables

6 tables, ready to load.

  • employees
  • time_off
  • benefits
  • job_history
  • compensation
  • directories

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about BambooHR.

Does Bruin have a built-in BambooHR integration?

Yes. Built-in ingestr source.

Which BambooHR tables can Bruin load?

employees, time_off, benefits, job_history, compensation, directories.

Where can BambooHR data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect BambooHR?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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