Data Engineer

🔥 47 minutes ago

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Paires

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

Paires is a private capital raising platform that connects founders with a curated network of family offices, venture funds, sovereign and private investors. The firm combines human capital markets expertise with AI-driven matching to prepare and execute raises with discretion and efficiency, positioning investor relationships long before capital is needed. Paires emphasizes founder-specific, sector-agnostic mandates—running raises across semiconductors, frontier hardware, AI and enterprise software, fintech and capital markets, health & life sciences, energy, logistics, consumer, and space & defense—and reports outcomes such as $2B+ deal volume represented, 3,500+ investor introductions, and a claim of 70% greater efficiency versus traditional fundraises.

📋 Description

• Own the database consisting of Postgres and Supabase, managing schema design, modeling, and scaling performance. • Ensure data quality end-to-end via validation gates, deduplication, and entity resolution. • Oversee the communications layer, linking raw emails and call transcripts to the right people and companies. • Develop ingestion and enrichment pipelines for funding rounds and company research at scale. • Manage the knowledge graph comprising companies, investors, funding rounds, and news as entities and relationships. • Create a unified data layer that serves every campaign and product feature.

🎯 Requirements

• Have owned a database of companies, people, deals, or the communications between them. • Are strong in SQL and Python, with real pipeline work. • Have caught bad data before it hurt the business. • Think in schemas and contracts, and design for future queries. • Have modeled entities and relationships at scale. • Move fast with AI tooling and own outcomes. • You do not need the title; if you've owned CRM data, we want to hear from you. • Bonus: pgvector and embeddings, a knowledge graph you modeled in a relational database, funding-round or news ingestion at scale, entity resolution at scale, a raw communications store you built yourself.

🏖️ Benefits

• Fully remote and async. • The best AI tooling, paid (Claude Code, Cursor, top models). • Your layer feeds everything the GTM lead and founding engineers build.