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4 часа назад

Senior Backend Engineer (Data Infrastructure)

180 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (Data Infrastructure): Architecting and scaling data pipelines for a startup discovery engine with an accent on data quality, LLM-powered extraction, and system design. Focus on building end-to-end data products, from ingestion and reconciliation to GraphQL API development and feature delivery.

Company

hirify.global is a startup discovery engine that maps the global startup landscape to help investors and GTM teams identify breakout companies.

Location: New York City (Hybrid)

Compensation: $180,000 – $220,000 + Equity

What you will do

  • Architect and maintain large-scale data pipelines for startup, people, and investment data.
  • Own the data quality bar, including coverage, freshness, and accuracy.
  • Develop dynamic, LLM-powered agentic workflows for data extraction and reconciliation.
  • Work across the backend, databases, search indices, and GraphQL APIs to build product features.
  • Partner with GTM, Product, and Design teams to ship new data-driven products.

Requirements

  • 6+ years of experience as a software engineer with a track record of building data infrastructure at scale.
  • Strong product sense and ability to reason about data structure and user utility.
  • Experience designing data models, indexing strategies, and serving paths.
  • Proven ability to wrangle raw, messy, real-world data into structured, reliable formats.
  • Ability to work in a hybrid environment in New York City.

Nice to have

  • Experience with LLM-powered extraction, search systems, or agentic workflows.
  • Background in venture capital, private markets, or company intelligence data.

Culture & Benefits

  • Backed by $30M in funding from top-tier investors like Craft and Floodgate.
  • High-growth environment with 100%+ annual revenue growth.
  • Opportunity to own both the data infrastructure and the product surfaces it powers.
  • Direct impact on the tools used by industry leaders like OpenAI and Notion.

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