Track hiring stage progressions in data tables

When a candidate's stage changes in Spark Hire, update the corresponding row in SQL Server to reflect their updated recruitment status.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Spark Hire Explore Spark Hire →

Triggers

New candidate applied

Fires when a new candidate applies to a job in Spark Hire.

Candidate stage changed

Fires when a candidate moves to a new pipeline stage in Spark Hire.

Interview scheduled

Fires when an interview is scheduled in Spark Hire.

Offer extended

Fires when an offer is extended to a candidate in Spark Hire.

Actions

Create candidate

Creates a new candidate record in Spark Hire.

Update candidate stage

Moves a candidate to a new pipeline stage in Spark Hire.

Schedule interview

Schedules an interview for a candidate in Spark Hire.

Send offer letter

Sends an offer letter to a candidate via Spark Hire.

SQL Server Explore SQL Server →

Triggers

New row inserted

Fires when a new row is added to a table in SQL Server.

Row updated

Fires when an existing row changes in SQL Server.

Query result ready

Fires when a scheduled query in SQL Server finishes running.

Actions

Run a query

Runs a SQL query against SQL Server and returns the result.

Insert or update a row

Writes a new or updated row to SQL Server.

Sync a table

Syncs a table in SQL Server with data from another source.

Log new candidate applications in your data warehouse When a new candidate applies in Spark Hire, insert a new row in SQL Server to maintain real-time recruitment metrics. See details

Create candidates from outbound sourcing data When a new row is inserted into SQL Server from your talent intelligence tools, automatically create a candidate record in Spark Hire. See details

See all Spark Hire + SQL Server integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Track hiring stage progressions in data tables” between Spark Hire and SQL Server?

Yes — describe it in the box above and Knit's Integrations Agent researches Spark Hire and SQL Server's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

Why sync recruitment data between Spark Hire and SQL Server?

Centralizing applicant tracking data in SQL Server gives executive teams complete visibility into hiring metrics and allows data teams to feed pre-screened talent back into Spark Hire.

Can data in SQL Server automatically create candidate profiles?

Yes, when new candidate records are inserted into your warehouse in SQL Server, a corresponding candidate profile can be generated automatically in Spark Hire.