Join Choco, where we build and own solutions that reshape a broken food system.
The global food supply chain is inefficient by design.
Waste is high, margins are thin, and most distributor order processes are done over the phone, tracked across broad spreadsheets, and based on intuition rather than strong data.
At Choco, we’re changing that.
We build software used daily by food distributors and their customers to run their business.
It automates orders, reduces errors, and helps operations run faster and more reliably.
Because it’s embedded in daily operations, our SaaS platform has immediate, real-world impact, on efficiency, margins, and how businesses run day to day.
As a Senior Data Platform Engineer, you'll build and evolve the data foundation that powers Choco's internal analytics, AI capabilities, and customer-facing data products.
As we scale to serve increasingly demanding enterprise customers, our data platform needs to meet higher standards for reliability, freshness, quality, and compliance.
You'll own critical parts of our ingestion, transformation, and data platform ecosystem-helping us move toward enterprise-grade SLAs while making it easier for teams across Choco to build trustworthy data products.
This isn't a role focused purely on pipelines.
You'll own problems end-to-end, from understanding why they matter to designing, shipping, operating, and driving adoption of scalable solutions.
What you'll doDesign and build a scalable data platform, from ingestion frameworks to the data products consumers rely on.
Build and operate batch, streaming, and CDC pipelines across heterogeneous data sources.
Deepen data observability and establish SLA/SLO frameworks around reliability, freshness, quality, and downstream impact.
Implement PII masking, retention, and data contracts that make compliance and governance part of the platform by design.
Improve data modeling, warehouse/lakehouse standards, and developer productivity through reusable tooling, automation, and AI.