Data Engineer

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EULER

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

💰 $600k Pre seed on 2023-02

SaaS • B2B • Artificial Intelligence

EULER is an AI-native Partner Revenue Management (PRM) platform that automates partner operations for partner teams. It centralizes partner onboarding, activation, communications, incentive and commission management, deal tracking and attribution, and reporting—turning fragmented partner data into actionable insights. Euler offers AI features such as a 24/7 AI Partner Account Manager and DealFlow AI for automated deal registration, integrates with CRMs and billing systems, and is designed to scale partner-sourced revenue while reducing manual work. The company’s site reports customers averaging 3–4x partner-sourced revenue growth and 4–9x partner portfolio growth over 12 months.

📋 Description

• Own the health of EULER’s data end to end, including capture, validation, protection, and structure • Define instrumentation requirements and work with engineering and product to record data correctly • Build validation and reconciliation systems for data quality and integrity • Own data protection and anonymization practices and document customer commitments • Design canonical data models and taxonomies across customers • Build datasets and documentation supporting reporting and analytics • Make data understandable to non-builders through clear documentation • Set the standard for how EULER treats data and independently own the data domain

🎯 Requirements

• Strong SQL, including window functions and careful aggregation • Production data pipeline ownership end to end • Software engineering skills to write, test, and review pipeline code • Tested and reviewable code • Sceptical, data-driven approach to validating numbers and distributions • Ability to independently own a domain and set priorities • Clear written communication • Professional working English • Availability during US East Coast working hours • Nice to have: data privacy experience with anonymization and pseudonymization • Nice to have: GDPR/LGPD applied to real datasets • Nice to have: multi-tenant B2B SaaS data experience • Nice to have: dbt or equivalent analytics engineering practice • Nice to have: statistics knowledge including survival analysis, censoring, selection bias, and hierarchical models • Nice to have: Cloudflare Workers and Hyperdrive • Nice to have: Postgres, Parquet, or DuckDB • Nice to have: Bubble or similar low-code platform experience • Deep learning, an LLM portfolio, or a PhD are not required

🏖️ Benefits

• Remote working environment with flexibility to work from anywhere • Competitive salary • Supportive and innovative team culture • Opportunities for professional development and growth • Full ownership of your domain • No unpaid project work required