Posted Aug 20, 2026

Data Engineer

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About Us

Partnerships are the future of go-to-market. They drive 30-50% of company revenue, yet most partner teams are stuck with spreadsheets, email chains, and outdated CRMs.

EULER is the AI-native PRM changing that, and we grew 600% last year doing it. We are not iterating on legacy PRM software. We are redefining what the category even is.

Role Overview

As our Data Engineer, you will own the health of EULER’s data end to end — how it is captured, how it is validated, how it is protected, and how it is structured so the business can rely on it.

This is a foundational role. Partner ecosystems are a genuinely hard data domain: every customer brings their own CRM, their own vocabulary, and their own way of defining what counts as a qualified opportunity. Turning that into something consistent and trustworthy is the work, and it is what makes everything downstream possible.

You will set the standard for how we treat data, and own it.

Key Responsibilities

What We’re Looking For

Nice to Have

You do not need deep learning, an LLM portfolio, or a PhD.

Why Join Us

How to Apply

Along with your application, tell us briefly about a dataset you did not trust: how you found out, and what you did about it. We are more interested in that than in your CV.

We will not ask you for unpaid project work.

Strong SQL, production data pipeline ownership, software engineering practices, independent prioritization, skepticism, clear writing, professional English, and US East Coast working-hour availability.

Key Responsibilities

Skills & Tools

SQL, Cloudflare Workers, Hyperdrive, Postgres, Parquet, DuckDB, Bubble, dbt

Job Details

About EULER

An AI-native partner relationship management software company serving business partnerships. — Industry: Information Technology