Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings.
Data Engineer
Location
EST (UTC-5)
Posted
7 days ago
Salary
C$150K - C$250K / year
Seniority
Mid Level
Job Description
Data Engineer
Paires
Role Description We are hiring our first Data Engineer to own the database our agents and outreach are built on. Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then run the warm outreach that turns into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast. The role involves: - Managing a comprehensive database of companies, investors, funding rounds, and relevant news. - Designing, scaling, and maintaining the database to ensure it serves as the single source of truth. - Ensuring the database is not merely a reporting or analytics warehouse but a live product memory. What you will own - The database itself: Postgres and Supabase with hybrid search, schema design, modeling, scaling, and performance. - Data quality end to end: validation gates for vendor and third-party data, deduplication, entity resolution, provenance, monitoring. - The communications layer: raw emails and call transcripts stored, linked to the right people and companies, and searchable. - Ingestion and enrichment pipelines: funding rounds, market news, and contact and company research at scale. - The knowledge graph: companies, investors, funding rounds, and news as entities and relationships. - The unified data layer: one clean spine that every campaign, agent, and product feature reads from. Qualifications - Experience owning a database of companies, people, deals, or communications. - Strong skills in SQL and Python with real pipeline work experience. - Ability to catch bad data before it impacts the business. - Experience thinking in schemas and contracts, designing for future queries. - Experience modeling entities and relationships at scale. - Ability to move fast with AI tooling and own outcomes. Requirements - No specific title required; experience in RevOps or growth roles is acceptable. - Hands-on experience with AI tools is preferred. Benefits - Fully remote and async work environment. - Flexible hours with some overlap with US Eastern time. - Meetings batched on Mondays and Thursdays, allowing for deep work. - Access to the best AI tooling, including Claude Code, Cursor, and top models. - Collaboration with the GTM lead and founding engineers. How to apply Hit apply, which takes you to our short application form. We read every application.
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