HRMS migration
Field-level mapping, validation, and rollback between Employ and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Employ
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between Employ and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Employ to BambooHR is an ATS-to-HRIS migration that requires a structural translation of two distinct data models. Employ is an applicant tracking system that generates AI-powered candidate scores, manages configurable hiring pipelines, and handles I-9 and E-Verify compliance within a recruiting workflow. BambooHR is an HRIS with a built-in ATS module that stores applicant records as flat entities attached to job openings. We extract AI interview scores from Employ's Candidate metadata and write them to a custom field in BambooHR, carry I-9 documents as encrypted file attachments linked to the Employee record rather than re-triggering verification, and resolve custom pipeline stages against BambooHR's fixed stage list. Hiring workflows, automations, and job board distribution settings do not migrate; we deliver a written inventory of every active workflow for the customer's admin to rebuild in BambooHR's automation builder or a third-party iPaaS tool.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Employ object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Employ
Job
BambooHR
Job (BambooHR Job Opening)
1:1Employ Job records map to BambooHR Job Opening with title, description, department, location, and status preserved. The Employ job ID is retained in a custom field emp_job_id__c for reconciliation. BambooHR's Job Opening is the ATS-side record that candidates apply to; post-hire, the job context is linked to the Employee but BambooHR does not maintain a formal job history object. Active jobs migrate as open; closed jobs migrate as closed with application counts preserved.
Employ
Candidate
BambooHR
Applicant
1:1Employ Candidate records map to BambooHR Applicant records. Contact information (name, email, phone, address), work history, education, and skills transfer directly. AI interview scores are stored as metadata on the Employ Candidate and require extraction as structured fields; we write these to BambooHR custom fields (created pre-migration) named ai_interview_score__c, ai_screening_status__c, and ai_confidence_rating__c if the customer wants to preserve them. Any Candidate without an associated Application in the migration scope is still migrated as an Applicant to preserve the talent pool.
Employ
Application
BambooHR
Applicant (linked to Job)
lossyEmploy Application records represent the candidacy link between a Candidate and a Job, carrying pipeline stage, application date, source, and any notes. In BambooHR's flat applicant model, this candidacy is represented by the Applicant record itself being attached to a Job Opening. We preserve the application date as a custom field app_submitted_date__c, the source as app_source__c, and notes in the BambooHR applicant notes field. Stage history from Employ is preserved as a custom field pipeline_history__c in JSON format if the customer requests it.
Employ
Hiring Pipeline and Stages
BambooHR
Job Stage
lossyEmploy allows each customer to define custom pipeline stages per job with no standard schema. BambooHR uses a fixed stage list per job type (Applied, Phone Screen, Interview, Offer, Hired, Rejected) with limited customization. We extract the full Employ stage list during discovery, map each to the closest BambooHR equivalent, and flag any stages with no valid mapping for the customer's admin to assign manually before migration. Stages with no equivalent land in a custom field original_stage__c on the BambooHR applicant record.
Employ
AI Interview Score
BambooHR
Custom Fields (ai_interview_score__c, ai_screening_status__c)
1:1Employ AI Recruiter evaluation scores are not a standalone exportable object; they are stored as metadata on the Candidate record. We identify candidates with AI scores during data audit, extract the structured score values and confidence ratings, and write them to pre-created BambooHR custom fields. The extraction logic uses custom parsing since there is no documented API field name. We flag any score that maps to a rating above or below the destination custom field's defined range and scale the values to fit.
Employ
Employee (Post-Hire)
BambooHR
Employee
1:1When a Candidate is hired, the record transitions to an Employee object in Employ with start date, department, manager, employment status, and compensation fields. We map these directly to BambooHR Employee fields. The Employee is created in BambooHR during the post-hire migration phase after the Applicant record has been confirmed as hired. Manager relationships are resolved via email match against the BambooHR destination's user directory; any manager without a matching Employee record is flagged in reconciliation.
Employ
I-9 and E-Verify Record
BambooHR
Employee File (Encrypted Attachment)
1:1Employment eligibility verification records are regulatory documents that must transfer with their full audit trail intact. We carry I-9 and E-Verify records as encrypted file attachments linked to the corresponding Employee record in BambooHR. We do not re-trigger the E-Verify workflow in BambooHR because that would overwrite the existing verification status. The customer must confirm before migration that BambooHR's file storage policy meets their compliance retention requirements. Some BambooHR configurations require the HR admin to re-upload I-9 documents manually post-migration; we document this decision during scoping.
Employ
User and Role
BambooHR
Employee (with Role)
1:1Employ assigns Users to roles (Recruiter, Hiring Manager, Admin) tied to hiring permissions. BambooHR uses an Employee record with an Employee Type field (Full-Time, Part-Time, Contractor) and access-level configuration. We extract role assignments and map them to BambooHR employee type and a custom role field emp_source_role__c for reference. BambooHR's permission model is role-based (Employee, Manager, Admin) and controlled separately from the employee record. Any Employ user who is not also an Employee (e.g., external recruiter) is flagged as a non-employee user for manual provisioning in BambooHR.
Employ
Custom Fields (Jobs, Candidates, Applications)
BambooHR
Custom Fields
1:1Employ supports custom fields on Jobs, Candidates, and Applications. BambooHR supports custom fields on Employee, Applicant, and Job Opening objects. We conduct a custom field audit during discovery (there is no published schema documenting which custom fields exist per customer), create matching custom fields in BambooHR pre-migration, and map the values during the load phase. Custom fields with unsupported data types (e.g., complex nested objects) are flagged for the customer's admin to resolve.
Employ
Job Board Distribution Settings
BambooHR
Not Migrated
1:1Job postings distributed to third-party job boards are tracked as configuration settings in Employ rather than as data records. These are destination-specific and tied to Employ's job board integration partnerships. We do not migrate these configurations. The customer's admin rebuilds job distribution settings in BambooHR's job board integrations (Indeed, Glassdoor, LinkedIn) or their existing job board accounts post-migration.
| Employ | BambooHR | Compatibility | |
|---|---|---|---|
| Job | Job (BambooHR Job Opening)1:1 | Fully supported | |
| Candidate | Applicant1:1 | Fully supported | |
| Application | Applicant (linked to Job)lossy | Fully supported | |
| Hiring Pipeline and Stages | Job Stagelossy | Fully supported | |
| AI Interview Score | Custom Fields (ai_interview_score__c, ai_screening_status__c)1:1 | Fully supported | |
| Employee (Post-Hire) | Employee1:1 | Fully supported | |
| I-9 and E-Verify Record | Employee File (Encrypted Attachment)1:1 | Fully supported | |
| User and Role | Employee (with Role)1:1 | Fully supported | |
| Custom Fields (Jobs, Candidates, Applications) | Custom Fields1:1 | Fully supported | |
| Job Board Distribution Settings | Not Migrated1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Employ gotchas
AI interview scores stored as metadata on Candidate, not as a native object
I-9 and E-Verify records require compliance-aware handling
Pipeline stages are customer-configured with no standard schema
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source Employ instance for all record types: Job Postings (count and status), Candidate records (including identification of records with AI interview score metadata), Applications (stage history and attachment counts), post-hire Employee records (headcount, manager relationships, termination history), and custom fields on each object. We review the Employ pipeline stage configuration to extract the complete list of active stage names per job. We conduct a compliance review with the customer to determine I-9 carry-over versus re-upload preference. We also audit BambooHR's existing configuration (if any) to understand what ATS settings, custom fields, and employee types are already in place. The discovery output is a written migration scope document with record counts, object mapping, and a list of items requiring customer decision.
Schema design and sandbox preparation
We create the target schema in BambooHR. This includes provisioning any missing custom fields (ai_interview_score__c, ai_screening_status__c, original_stage__c, pipeline_history__c, emp_source_role__c, emp_job_id__c, app_submitted_date__c, app_source__c) on Employee, Applicant, and Job Opening objects. We configure job stage mappings and verify that BambooHR's ATS module is active for the customer's account. If BambooHR's ATS is not already enabled, the customer must activate it with BambooHR directly before migration. We run a sandbox migration using a subset of records (typically 10-20 percent sample) to validate the stage mapping logic, custom field population, and I-9 attachment carry-over before full production migration.
AI score extraction and custom field population
We run the custom extraction logic against all Employ Candidate records to identify those with AI interview scores. The extraction parses the Candidate metadata for score values, confidence ratings, and screening disposition, then writes these to the corresponding BambooHR custom fields we created during schema design. We apply value scaling where the Employ score range differs from the BambooHR custom field range. The extraction output includes a reconciliation report listing candidates with scores, the original values, and the mapped values, which the customer reviews and approves before the full migration load.
Production migration in dependency order
We run production migration in record-dependency order: Job Openings (to receive applicants), Applicants (with AI scores and pipeline history mapped), Employee records (post-hire, with manager email resolved), I-9 and E-Verify attachments (encrypted carry-over), and User-to-Employee role mapping. BambooHR's REST API supports batch operations with rate limiting; we use exponential backoff and batch chunking to stay within limits. Each phase emits a row-count reconciliation report. We flag any record that fails import and surface it in a resolution queue for the customer's admin to address before cutover.
Cutover, validation, and workflow handoff
We freeze writes in Employ during the cutover window, run a final delta migration of any records modified during the migration period, then confirm BambooHR as the system of record for HR and ATS data. We deliver a reconciliation report comparing source and destination record counts and spot-checking field values for 25-50 records per object. We deliver the Hiring Workflow inventory document to the customer's HR admin with recommendations for BambooHR automation equivalents. We do not rebuild Employ workflows in BambooHR; that is a separate engagement or an internal admin task. We support a one-week hypercare window for post-migration issues.
Platform deep dives
Employ
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Employ and BambooHR.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Employ: Documented separately per brand; Lever ~10 requests/sec per token, Jobvite plan-tier dependent, JazzHR not extensively documented.
Data volume sensitivity
Employ exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Employ to BambooHR migration scoping. Not seeing yours? Book a call.
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