Migration Engineers · Contract & Direct Hire

ERP Data Migration Specialist Staffing, for the Load That Only Gets to Run Once

Cutover night doesn’t reward a second try. No do-overs. KORE1 staffs the engineers who inventory your legacy data, map it field by field into NetSuite, SAP, Dynamics, or Epicor, rehearse the load until it’s boring, and prove the balances tie before anyone touches production. Contract, contract-to-hire, or direct hire, screened by people who ask what happened the week the mapping didn’t fit.

A data migration specialist and a colleague reviewing a printed field mapping crosswalk spread across a conference table

KORE1 staffs ERP data migration specialists, contract, contract-to-hire, and direct hire, who map, cleanse, and reconcile legacy data into NetSuite, SAP, Dynamics, and Epicor, averaging 17 days to first qualified submittal and 92% one-year retention.

Last updated: August 14, 2026

17d
Average time to first qualified submittal
92%
One-year placement retention
20yrs
Placing ERP and enterprise systems talent since 2005
30+
U.S. metros served

A distributor outside Nashville hired us in the spring for a NetSuite data migration engineer. Two weeks before that call, they’d already picked a go-live date and printed it on a whiteboard in the conference room. A date. Not a plan. Nobody had inventoried the 11-year-old on-prem ERP they were leaving, and nobody had asked whether the item master even had clean unit-of-measure conversions.

It didn’t. Forty percent of the SKUs had at least one.

That’s the ordinary shape of an ERP data migration search. The request arrives sounding like a tooling question, someone who knows CSV imports or a specific connector, and underneath it sits a much bigger question nobody has answered yet. What does the source data actually look like, and who’s going to own the day it doesn’t tie out. ERP consultants scope the platform. A migration specialist owns the data that has to survive the move.

KORE1 has recruited IT staffing and ERP talent since 2005, and our ERP recruiters have watched migration work grow from a line item inside implementation projects into its own hire. Most clients don’t need a whole platform team. One hire, sometimes two. People who can inventory, map, cleanse, and prove the load, on a timeline set by a go-live date that’s already printed somewhere.

A migration specialist and a controller comparing a legacy chart of accounts against a new ERP field mapping crosswalk
The Role

Where an ERP Consultant Stops and a Migration Specialist Starts

An implementation consultant configures the new system. A migration specialist makes sure everything the business runs on survives the trip into it, in a form the new system can actually use. Related jobs. Not the same job. A statement of work that quietly assumes one covers the other is where budgets go sideways.

The work starts with extraction. Always. No shortcuts. Pull the item master, the customer and vendor records, open transactions, historical GL detail if the business wants history in the new system rather than archived, and every report a finance team quietly depends on that nobody remembers is actually a manual export.

Then mapping. Every field in the legacy source has to land somewhere in the target, or get a documented reason it doesn’t. Currency codes. Tax codes. Unit-of-measure conversions. A customer status field that meant one thing in 2014 and something slightly different by 2022. NetSuite alone exposes this two ways, a CSV import for standard record types and SuiteScript or web services for anything the import tool can’t reach, and knowing which door to use for which field is half the job.

Then cleansing, rehearsal, and the load itself. More on that below.

The Tie-Out

Five Numbers That Have to Match, to the Penny

A migration isn’t done when the records load. Not close. Not even near. It’s done when a defined set of balances from the old system and the new one match, line for line, and someone is willing to sign their name to it. Here’s an anonymized reconciliation pack from a real NetSuite migration, the kind we ask candidates to walk us through.

Reconciliation lineLegacy systemMigrated (NetSuite)Status
Trial balance, all entities$4,182,406.11$4,182,406.11Tied
Open AR aging, total$891,204.55$891,204.55Tied
Inventory valuation, all locations$2,340,118.00$2,343,611.40Flagged, +$3,493.40
Open sales order balance$612,050.00$612,050.00Tied
Fixed asset net book value$1,027,884.62$1,027,884.62Tied

Four rows tied on the first rehearsal. The inventory line was off by $3,493.40. The trace took ninety minutes. Fourteen units of a discontinued SKU carried two different unit-cost overrides in two different warehouse bins, and the load script picked the more recent bin’s cost instead of a blended one. Small dollar amount. Easy to wave off. Exactly the kind of thing that looks fine until an auditor asks why inventory value moved after go-live with no transaction behind it. That’s the whole job in one line item.

What We Screen For

Six Skills a Certificate Won’t Prove

Plenty of candidates have touched a migration. Fewer have owned one. Start to finish, source extraction through a signed-off reconciliation. These are the six areas our recruiters press on before a résumé ever reaches you.

Source Extraction

Knowing what to pull, what to leave archived, and which “system of record” is actually three spreadsheets a controller trusts more than the ERP itself.

Field Mapping

Building the crosswalk and writing down a reason for every field that doesn’t map cleanly, instead of quietly dropping it and hoping nobody asks.

Cleansing & Dedup

Fixing bad data at the source when you can, in the pipeline when you can’t, and knowing that fixing it in flight means fixing it again on every rerun.

Platform Load Tools

CSV import, SuiteScript, ODBC, or a platform’s native migration tooling, and which one actually holds up at real record volume instead of just in a demo.

Rehearsal Discipline

Running the load more than once against full production volume, timing it, and never hand-fixing a bad row just to make a dry run look clean.

Reconciliation

Proving trial balance, AR, inventory value, and open orders match after the load, in a document someone in finance is willing to sign.

A recruiter and a hiring manager reviewing a candidate's answer about a data mapping decision during a technical screen
The Screen

Ask About the Field That Didn’t Have a Clean Mapping

Every migration résumé says roughly the same thing. Migrated data from legacy system to new ERP. Loaded records via CSV and script. Full stop. That sentence doesn’t tell you whether someone owned a decision or executed one somebody else made, and the gap between those two candidates is the whole hire.

So we ask about the field that didn’t fit. Every real migration has one. A status code, a customer type, a unit of measure that meant something different depending on which warehouse used it. Candidates who owned the work can name the field, explain the decision, and tell you who signed off on it. Candidates who were handed a spreadsheet describe a process instead.

“The tech isn’t the hard part. Your data is, and pretending otherwise is how a six-week migration turns into a six-month one.”

Colin Boothe, CIO at Foretopia, on recruiting for ERP and NetSuite work

We also ask candidates to reason through capacity, not just tooling. On a real regulated-manufacturer NetSuite migration, a unit-level design would have burned roughly 1.35 million API calls a year against a 130,000 call allowance, about ten times over. A transaction-level design that batched by document instead of by unit stayed under a quarter of it. A strong migration candidate gets to that math without being walked through it.

One auth detail trips up candidates who’ve only worked with simple REST APIs. A NetSuite RESTlet won’t accept a plain API key. Not by itself. An external caller needs OAuth 1.0 token-based authentication or signed OAuth 2.0 requests, and that matters the moment a migration touches an inbound integration instead of a one-time load.

How We Staff a Search

Five Moves, Start to Cutover Weekend

Same sequence, every search. A single contract migration engineer or a small permanent data team. The depth changes with scope. The order doesn’t.

  1. 01

    Migration Intake

    Source system, target platform, entity count, whether history travels or gets archived, and the go-live date that’s already been set. We leave the call knowing which of the six screen areas your req actually needs most.

  2. 02

    Bench First

    Our recruiters work a warm bench of migration engineers they’ve spoken with in the last 18 months, by platform and by industry. Outbound starts the same day, not after a job posting goes live.

  3. 03

    Technical Screen

    Credentials checked, then the mapping-decision conversation. Extraction, crosswalk logic, cleansing calls, rehearsal discipline. Three to six profiles back inside a week, with notes a controller or an architect can actually use.

  4. 04

    Interview Management

    Scheduling, debriefs, comp signal, and counter-offer prep. Most migration searches stall in the week between a strong screen and a finance team that can’t find an hour, so this is where we push.

  5. 05

    Close and Check In

    We coach the offer, manage the counter, then check in at 30, 60, and 90 days, well past cutover weekend. That window is why 92% of our placements are still in seat a year out.

A KORE1 recruiter and a hiring manager scoping a migration role timeline against a printed go-live calendar
The Brief

The Scope Mistake That Costs You a Quarter

It almost always shows up as a date set before a data audit. Someone picks a go-live quarter, works backward to a start date for the migration engineer, and nobody has actually looked at how clean the source data is. Then week three arrives. The item master turns out to be a mess, and the “six-week migration” quietly becomes a sixteen-week one. Same headcount. Different timeline.

We push back on that order before sourcing starts. Every time. A short discovery pass on data quality, even a day or two, tells you whether you’re staffing a straightforward load or a cleanup project wearing a migration’s job title. Cheaper to learn at the brief. Expensive to learn after a missed go-live date.

Scope also gets confused across roles. If the real gap is choosing the target platform in the first place, that’s ERP vendor selection advisory, not a migration hire yet. If two live systems are merging after an acquisition rather than one system replacing another, that’s business systems consolidation and data migration staffing, a related but different search. And if you’re specifically leaving QuickBooks for NetSuite, QuickBooks-to-NetSuite migration staffing covers that exact path. We’ll tell you honestly which desk your req belongs on rather than force-fitting it to whichever one you called first.

Platform matters too. It always does. Someone who has moved data into NetSuite isn’t automatically the right person for SAP S/4HANA, Dynamics 365, Oracle Cloud ERP, or Epicor, and we screen against the platform you’re actually running rather than crediting adjacent experience generously.

Engagement Models

Three Ways to Bring a Migration Specialist On

Same recruiters. Same bench. Every time. The shape follows the timeline in front of you.

Most Common

Contract & Contract-to-Hire

Migration engineers on a KORE1 W-2 for the length of the project, typically eight to sixteen weeks. Converts cleanly if a seat turns out to be needed past go-live for a second phase or an acquisition down the road.

Contract Staffing →

Direct Hire

For teams that migrate data often enough to justify owning the skill permanently, multi-entity organizations, frequent acquirers, or a data team that will keep growing after this project closes.

Direct Hire details →

Project & Statement of Work

A scoped team against a defined go-live date, priced to an outcome rather than a headcount. Fits a board-mandated cutover or a project with a hard external deadline.

Project Staffing →
Questions

Common Questions

What does an ERP data migration specialist actually do?

An ERP data migration specialist inventories legacy data, maps it field by field into the new platform, cleanses and dedupes it, rehearses the load against full production volume, and proves a defined set of balances reconcile before cutover.

That last part is the one people underrate. Loading records is easy. Proving the trial balance, AR aging, inventory value, and open orders still match afterward is the half that determines whether finance trusts the new system on day one.

Data migration specialist, ERP consultant, or ETL developer, which seat do we need?

An ERP consultant configures the platform, an ETL developer builds general data pipelines, and a migration specialist owns the specific job of getting your legacy data into that platform correctly and proving it. Overlapping skills. Different centers of gravity.

If the platform configuration itself is the open question, start at ERP consultant staffing. If the data pipeline work extends past a one-time migration into ongoing integrations, ETL developer staffing or data architect staffing may be the better fit. If the job is specifically getting the data in, reconciled, once, this is the desk.

How long does a typical ERP data migration take?

Six to sixteen weeks is the common band for a single-entity migration onto NetSuite, SAP, Dynamics, or Epicor, running roughly two to four weeks on inventory and mapping and the rest on cleanse, rehearsal, and cutover.

Source data quality moves that number more than the target platform does. By a lot. A clean legacy system with a disciplined item master can land near the bottom of the range. An 11-year-old ERP with no data governance and forty percent of SKUs carrying unit-of-measure problems will push well past it, and that’s worth finding out in week one rather than week eight.

What should we budget for ERP data migration staffing?

Across KORE1’s 2026 ERP placements, contract data migration engineers bill between $75 and $145 an hour, with senior leads who also own reconciliation and validation running $140 to $220.

A single-person migration on a clean data set can close in the low five figures. A multi-entity migration with real data quality problems, or one that requires the validation rigor of a regulated industry, moves into six figures fast. Validation work alone commonly runs close to a third of total hours on those engagements. Audit first. Budget for that before the load, not after.

How do you screen for a migration specialist instead of just checking a résumé?

We ask candidates to walk through a real field mapping decision, one where the source data didn’t fit cleanly, and to name the field, the decision, and who signed off on it.

Under a minute, with specifics, from the people who owned it. A vaguer answer usually means they were assigned rows on someone else’s project. We also test whether a candidate can reason through capacity constraints, like an API call allowance, with arithmetic rather than a guess, because that’s the difference between a design that survives contact with real volume and one that doesn’t.

Do you place remote and contract data migration specialists?

We do. Regularly. Most migration work is location-independent, so remote and hybrid placements are the norm, and contract is the most common shape for a defined project with a fixed go-live date.

On-site still matters for a handful of searches, usually manufacturing or distribution clients who want someone physically present with the warehouse team during cutover weekend itself. Our ERP recruiters will tell you honestly whether your search actually needs that or whether remote gets you a bigger, better bench.

What’s the single biggest reason a data migration goes over budget?

A go-live date set before anyone audited the source data. The migration gets scoped and staffed against an assumption of clean data. Then the real condition of the legacy system surfaces in week three and resets the timeline, same headcount.

Second most common is a rehearsal that gets hand-fixed instead of root-caused, where someone patches a handful of bad rows to make a dry run look clean and the underlying issue ships to production anyway. Neither is technical. Both are cheap to catch early and expensive to discover late.

Tell us the source system, the target, and the go-live date. We’ll size the bench against it.

One intake call is usually enough to scope the search, flag the data-quality risk, and give you a real first-submittal date.

Talk to an ERP Recruiter →