Proton.ai

Data Engineer

• Own the Data Layer end to end: ingestion from file-, event-, and API-based sources; the medallion-style model (raw → refined → curated); and the serving layer that powers the product and the AI brain.
• Build and operate the ingestion and transformation pipelines that power the Data Layer, using a modern orchestration framework and cloud data warehouse.
• Ingest and reconcile large, messy, real-world data across many source types and shapes — batch files, streaming events, and APIs.
• Model data across medallion layers so it's trustworthy, queryable, and stable for downstream teams and the AI.
• Help take the Data Layer to the next level — better architecture, better tooling, more scale, more sources — and have a real say in what that looks like.
• Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run agents in parallel where it makes sense, and ship reviewed, production-quality output.
• Build the systems that make data trustworthy — validation, reconciliation, lineage, backfills, idempotent and incremental loads — so downstream teams and the AI don't inherit silent errors.
• Partner with backend, AI, and product engineers (and occasionally customers' IT teams) to define the data contracts they build on.

Senior Data Engineer – AI-Native, Data Layer