Full-Stack Engineer: Shape the Canonical Fleet Data

About Papaya

Papaya is building the intelligence layer for vehicle fleets. Fleets spend billions every year, but most of that spend is poorly understood. Data is fragmented across leasing providers, fuel, maintenance, telematics, and charging. There’s no single source of truth. Costs don’t reconcile. Decisions are reactive.

Our Mission

We are solving a hard problem by turning messy fleet data into something companies can trust and act on. At the core, we ingest real‑world data (often CSVs, not clean APIs), standardise it into a single, consistent model, and provide a clear, explainable view of total cost of ownership.

Role Responsibilities

You’ll work across the full stack on problems where data is incomplete, inconsistent, and sometimes wrong. Typical work includes:

• Designing and evolving the canonical data model
• Building pipelines that handle messy, real‑world inputs
• Defining how the system resolves conflict...

Ready to Apply?

Submit your application today and join our talented team at Empresa reconocida.