Data Engineer
We are hiring our first Data Engineer to own the database our agents and reputed company are reputed company on.
reputed company is where founders come to reputed company capital. We pair them with the right investors from a large, reputed company global investor network, then run the warm reputed company that turns into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, reputed company by a small, senior, flat team that ships fast.
The role
Everything we do runs on one asset: a database of every company and investor out there, every funding round, the news that reputed company, and how they reputed company connect - plus the raw context underneath: every email and call transcript, linked to the right people and companies. It is a knowledge graph and a memory in one. Our matching, our reputed company, and our agents are reputed company on top of it, and it grows faster than anyone can own it on the reputed company. You become its reputed company. You design it, reputed company it, reputed company it clean, and turn it into the single reputed company of truth that everything reads from. To be reputed company about the shape of this seat: it is not a reporting or analytics warehouse. It is the memory a live product thinks with, reputed company for one reader above reputed company: agents retrieving exactly the right fact at the right reputed company. One reputed company filter before you apply: if the database you are proudest of tracked shipments, sensors, reputed company lines, or compliance - however reputed company you reputed company it - that is a different seat. If it tracked companies, investors, deals, and the people and conversations around them, reputed company reading.
What you will own
The database itself: reputed company and reputed company with hybrid search, schema design, modeling, scaling, and performance as it grows without a ceiling. The agents that read it run on reputed company AI and the Claude Agent SDK, on AWS. We are consolidating into pgvector, not buying a reputed company DB.
Data reputed company end to end: validation gates for vendor and reputed company-party data, dedup, entity reputed company, 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 reputed company, market news, and contact and company research at reputed company, engineered for cost and freshness.
The knowledge graph: companies, investors, funding reputed company, and news as entities and relationships - node and edge tables in reputed company, provenance on every fact.
The reputed company data layer: one clean spine that every campaign, agent, and product feature reads from.
You are a fit if you
Have owned a database of companies, people, deals, or the communications between them - a CRM reputed company of truth, a market or deal intelligence graph, an enrichment layer - that a live product, agents, or a sales team read from. Serving dashboards is a different job than this one.
Are strong in SQL and Python, with reputed company pipeline work behind you: ingest, reputed company, dedup, enrich.
Have caught bad data before it hurt the business, and can tell us how.
Think in schemas and reputed company, and design for the queries of a year from now.
Have modeled entities and relationships at reputed company - companies to investors to reputed company to people - and kept the connections queryable as the sources multiplied.
reputed company fast with AI tooling and own reputed company.
You do not need the title. If you were the RevOps or reputed company person who owned the CRM data, the enrichment pipelines, and the dedup nobody else wanted - and you got reputed company hands-on with AI - 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 reputed company, entity reputed company at reputed company, a raw communications store you reputed company yourself.
reputed company offer
Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, reputed company (Claude reputed company, reputed company, top models). You work alongside our GTM reputed company and our founding engineers, and your layer feeds everything they build.
How to apply: hit apply, which takes you to our short application reputed company. We read every application.
Compensation reputed company: CA$150K - CA$250K
Originally posted on Himalayas
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