Synthetic Dataset & Generator for Waste Hauling Company
Employer not named by the sourceRemote
Frontier is not the employer and does not collect applications.
About this role
Python, Accounting, SQL, Intuit QuickBooks, Financial Analysis, API Integration, Data Management · Category tags: Intuit QuickBooks · Accounting · Python · API Integration · Financial Analysis · Data Management · SQL
Budget: Fixed price, milestone-based. Bid the full scope. Timeline: 3–4 weeks from kickoff.
What I need
A reproducible synthetic dataset for a fictitious solid-waste hauling company, covering 24 consecutive months of operations. This is for internal staff training, reporting/BI sandbox testing, and month-end close practice. No real company, customer, vendor, or employee data will be used or accepted.
The scope has two linked layers:
Financial layer — a populated QuickBooks company file (GL, AR, AP, payroll, fixed assets). Operational layer — the underlying service, tonnage, container, and route data that the financials are built from.
The two must reconcile to each other on shared keys. This is not optional or a nice-to-have — see "Operational layer" below. A GL-only dataset will not be accepted.
The other critical requirement: I want a generator, not just a filled-in file. I need to be able to re-run it, extend the period, or change parameters without re-hiring. A hand-keyed file is not an acceptable deliverable.
The fictitious company Single US operating e