Data Platform Overview - Jobo Enterprise

The Jobo Enterprise Data Platform offers multiple ways to deliver job data to your infrastructure. Pick the path that matches your integration style — from one-time snapshots to continuously synced datasets with AI enrichment.

Data Families

Data Export

Export job data to CSV, JSON, or Parquet files with configurable columns and filters. Best for snapshots, analytics imports, and one-off pulls.

Outbound Feed

Push job data directly to your databases and search engines with continuous sync every 15 minutes. Best for keeping your own storage in sync.

Pipelines

Transform and enrich data with visual flow pipelines powered by AI and Liquid templates. Best for schema mapping, extraction, and enrichment before write.

Getting Started

Get up and running with the data platform in three progressive steps. Each builds on the previous one.

Start with Data Export

Use one-time snapshots when you need to pull data quickly into BI tools, spreadsheets, or internal scripts. Go to Data → Export in the dashboard, choose your format, and download.

Move to Outbound Feed for Sync

When you need continuous data, configure an Outbound Feed destination (PostgreSQL, MongoDB, Elasticsearch, Algolia, or Meilisearch) and keep it up to date with incremental sync every 15 minutes.

Add Pipelines for Enrichment

Attach transformation pipelines when you need schema remapping, field extraction, or AI enrichment before data is written to your destination. Pipelines plug into any Outbound Feed.

When to Use What

Use Case	Recommended Product	Why
One-time data download	Data Export	Quick pull, no setup required
Spreadsheet analysis	Data Export (CSV)	Opens directly in Excel / Google Sheets
Analytics / data warehouse	Data Export (Parquet)	Columnar format, compact, fast for Spark/DuckDB/BigQuery
Keep your database in sync	Outbound Feed	Auto-sync every 15 min with upsert logic
Power a search UI	Outbound Feed → Algolia / Meilisearch / Elasticsearch	Real-time index updates
Enrich jobs with AI	Pipelines → AI Node	Classify, summarize, or extract structured fields
Custom data transformation	Pipelines → Liquid + JSON Merge	Remap schemas, rename fields, merge data
Continuous data ingestion	Outbound Feed or API Feed	Cursor-based pagination for programmatic access

Feature Comparison

Dimension	Data Export	Outbound Feed	Pipelines
Data Freshness	Snapshot at time of export	Synced every 15 minutes	Synced every 15 minutes (via Feed)
Delivery	Downloadable file (CSV/JSON/Parquet)	Pushed to your database / search engine	Transformation layer before Feed write
Volume	Up to millions of records per export	Continuous — full dataset kept in sync	Same as Feed (transforms applied per-record)
Setup Complexity	None — click and download	Moderate — provide connection credentials	Advanced — build node graph in visual editor
Best For	Ad-hoc analysis, data sharing	Production integrations, search UIs	Custom schemas, AI tagging, field enrichment
Subscription	Free (100 rows) / Jobs Data (unlimited)	Jobs Data plan required	Jobs Data plan required

Platform Highlights

57 ATS Sources

Greenhouse, Workday, Lever, iCIMS, and many more

Global Coverage

Jobs from companies across 100+ countries

Real-time Updates

Data refreshed every 15 minutes

Enterprise Security

TLS 1.3, AES-256 encryption at rest

Next Steps

Launch your first data workflow in under 15 minutes.

Set up your first export

Download a snapshot of job data in CSV, JSON, or Parquet

Configure outbound sync

Connect your database and start receiving continuous updates

Build a transformation pipeline

Add AI enrichment or schema remapping to your data flow

​Data Families