Build and own the systems that turn messy supplier catalogs into accurate, validated product data across NetSuite and multiple marketplaces.

NetSuite development: write SuiteScript and SuiteQL, create saved searches, custom records and custom fields, and implement workflows so NetSuite becomes the system of record for product data
Vendor data ingestion: collect, aggregate, and normalize supplier catalogs into clean, structured, trustworthy records
Marketplace data operations: build and maintain product data feeds and syncs for Amazon, eBay, Walmart, and the company store; include validation and compliance checks to keep listings accurate
Integrations and APIs: connect NetSuite, marketplace channels, and surrounding tooling so data moves reliably and no re-keying is required
Own end-to-end priority feeds: take one priority supplier feed arriving today as inconsistent and half-trusted input, validate and transform it into publishing-ready records for every channel; repeat for the next supplier feed

Ability to cover both sides of the role:
- NetSuite development using SuiteScript
- Product-data engineering using SQL or SuiteQL, plus Python or a comparable language for data work
Strong capability in one area and solid depth in the other, with willingness to deepen both over time with support
Experience working with large, messy datasets with real volume and real stakes
Ability to design data structures and integrations others can rely on and understand later
Legally authorized to work in the United States; no employment visa sponsorship available for this role
On-site availability at the Webberville, Michigan location a few days per week, including quarterly company planning days

NetSuite experience at a distributor, retailer, manufacturer, or ecommerce business, including integrations, imports, and production troubleshooting
Experience with parts, fitment, or catalog data (ACES and PIES style data, OEM cross-references)
Comfort using AI developer tooling (example: model-assisted code generation or automated test drafting) to speed up pipeline and script work

AI is used daily where it is better than the alternative, similar to how SQL is used
Agents run on real work across the catalog; the trustworthiness of outcomes depends on the data layer you build
Work expectations include being able to put a model into a workflow and remove it when it starts making things up

50/50 role by design: about half NetSuite development, about half data engineering
Routine item fixes and listing corrections stay with the listing team
You build and own the underlying system: pipelines, records, validation, and integrations
Focus on building it once, correctly, so it holds

Started in a basement in Michigan in 2009
Stocks hundreds of thousands of aftermarket parts for farm, construction, industrial, and lawn and garden equipment
Ships from Webberville, Michigan
Customers rely on parts to keep machines running and avoid downtime

Apply through the careers page
A resume is enough to start
If available, include something showing how you work (GitHub, data project, or a NetSuite build you are proud of); not required

NetSuite Developer & Product Data Engineer

Job Description