Data Engineer

Role Overview

Paires is seeking its first Data Engineer to own and scale the core database that powers our agents and outreach. This is not a reporting or analytics warehouse role; you will build the live memory and knowledge graph that our product and AI agents use to retrieve facts in real-time. You will design, scale, and maintain the single source of truth for companies, investors, and complex relational data.

Responsibilities

• Own the Postgres and Supabase database, including schema design, modeling, and scaling.
• Manage data quality end-to-end, including entity resolution, deduplication, and validation gates.
• Build and maintain the communications layer for storing and searching raw emails and call transcripts.
• Engineer ingestion and enrichment pipelines for funding rounds, market news, and research at scale.
• Develop the knowledge graph using node and edge tables in Postgres.
• Maintain the unified data layer used by all campaigns, agents, and product features.

Requirements

• Proven experience owning a database of companies, people, or deals (e.g., a CRM source of truth or market intelligence graph).
• Strong proficiency in SQL and Python with experience in ETL/pipeline work.
• Expertise in modeling complex entities and relationships at scale.
• Ability to design schemas and contracts that anticipate future query patterns.
• Experience with AI tooling and moving fast in a production environment.

Nice to Have

• Experience with pgvector, embeddings, and vector search.
• Experience building a knowledge graph within a relational database.
• Experience with large-scale entity resolution or news ingestion.
• Experience building raw communications stores.

Skills

• Python
• SQL
• PostgreSQL
• Supabase
• Knowledge Graphs