How to load data from Recruitee to Snowflake destination
Learn how to use Airbyte to synchronize your Recruitee data into Snowflake destination within minutes.


Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say

Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Export Data from Recruitee
Start by logging into your Recruitee account. Navigate to the area where your data resides, such as candidate information or job listings. Use Recruitee's built-in export features to download the data as a CSV file, which is a common format for data transfer.
Step 2: Prepare the Data for Snowflake
Open the exported CSV file in a spreadsheet application or a text editor. Review the data to ensure it is clean and organized. Remove any unnecessary columns and ensure that the data types (e.g., dates, numbers) are consistent. Save the cleaned file, maintaining the CSV format.
Step 3: Set Up a Snowflake Account and Warehouse
If you haven't already, create a Snowflake account. Once logged in, set up a data warehouse. Navigate to the "Warehouses" section and create a new warehouse, specifying the size and region according to your needs. This warehouse will be used to load and query your data.
Step 4: Create a Target Table in Snowflake
In Snowflake, navigate to the "Databases" section and create a new database if necessary. Then, create a schema within this database. Use SQL commands to define a new table structure that matches the structure of your CSV file. Ensure the column names and data types in Snowflake match those in your CSV file.
Step 5: Upload the CSV File to a Snowflake Stage
Use Snowflake's web interface or the SnowSQL command-line tool to upload your CSV file to a Snowflake stage. A stage is a temporary storage area in Snowflake. If using the web interface, navigate to the "Data" section, select your database, and find the option to upload files to a stage.
Step 6: Copy Data from Stage to Table
Once your CSV file is uploaded to the stage, execute a `COPY INTO` SQL command to transfer data from the stage to your target table in Snowflake. This command reads the data from the CSV file and inserts it into the table you created. Verify that the data types and structure align correctly to avoid errors.
Step 7: Verify Data Integrity and Clean Up
After loading the data into Snowflake, perform a few queries on the table to verify that the data was transferred correctly. Check for any discrepancies or errors. Once verified, you can delete the file from the Snowflake stage to avoid unnecessary storage use. Regularly monitor and maintain the data to ensure it remains accurate and up-to-date.
By following these steps, you can successfully move data from Recruitee to the Snowflake Data Cloud without relying on third-party connectors or integrations.