Stream data from Greenhouse to Snowflake
Move data from Greenhouse to Snowflake in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Greenhouse with Snowflake in 3 simple steps
Connect Greenhouse as your data source
Set up a source connector for Greenhouse in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Snowflake as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Snowflake.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Greenhouse connector details
The Greenhouse source connector ingests recruiting and hiring data from Greenhouse into Estuary collections for centralized analytics and reporting. Built on an open-source connector and optimized for performance within Estuary, it supports a broad set of Harvest API resources including candidates, applications, jobs, interviews, offers, scorecards, and user metadata. Each resource is mapped to its own collection through configurable bindings, giving teams granular control over data ingestion.
- Captures candidates, applications, jobs, interviews, offers, and related hiring data
- Uses the Greenhouse Harvest API with API key authentication
- Separate bindings per resource for modular collection mapping
- Supports configurable sync modes per resource
- Optimized for reliable performance within Estuary data pipelines

Snowflake connector details
Designed for high-performance analytics, the Estuary Snowflake connector materializes Flow collections into Snowflake tables in real time. It supports both standard and delta updates, with Snowpipe Streaming enabling the lowest-latency ingestion directly into Snowflake. Data is first written to a Snowflake stage and then applied transactionally, ensuring consistency and efficiency. Authentication uses key-pair (JWT), with support for secure SSL connections and sync scheduling to optimize warehouse usage and cost.
- Real-time data materialization into Snowflake tables
- Supports Snowpipe Streaming for low-latency delta updates
- JWT key-pair authentication (required from 2025 onward)
- Optimized performance and cost through sync scheduling
- Secure integration with SSL and warehouse auto-suspend

See how Glossier uses Snowflake
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Greenhouse to Snowflake pricing estimate
Estimated monthly cost to move 800 GB from Greenhouse to Snowflake is approximately $1,000.
Data moved
Choose how much data you want to move from Greenhouse to Snowflake each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Greenhouse to Snowflake without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Getting started with Estuary
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I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Greenhouse to Snowflake integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.




































