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10 дней назад

Staff Data Engineer (AI)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Staff Data Engineer (AI): Building a trustworthy, queryable data foundation for a high-growth consumer AI product with an accent on PostgreSQL architecture, data modeling, integrity, lineage, and high-throughput performance. Focus on designing canonical datasets, scaling SQL-centric infrastructure, improving query reliability, and enabling safe AI-based access to company data.

Location: Remote - United States

Company

hirify.global is a consumer AI company building a privacy-focused platform for people and AI agents.

What you will do

  • Shape the architecture and evolution of hirify.global’s data infrastructure, including databases, schemas, pipelines, and dependencies.
  • Design scalable data models and schemas that connect, normalize, and organize complex product and business data.
  • Build validation, reconciliation, testing, monitoring, and lineage systems that establish trustworthy sources of truth.
  • Define canonical datasets and metrics for financial reporting and critical business decisions.
  • Improve query performance, reliability, documentation, semantic layers, permissions, and access controls.
  • Partner with Engineering, Product, Finance, Growth, and Operations while making architectural decisions as an individual contributor.

Requirements

  • Must be based in the United States for the remote role.
  • Significant experience designing and operating data systems at scale.
  • Expert-level SQL and relational database knowledge, with strong PostgreSQL experience.
  • Deep knowledge of data modeling, schema design, database architecture, performance, indexing, optimization, and scalability.
  • Experience with data integrity, quality, lineage, observability, governance, and integration across complex systems.
  • Strong technical judgment, communication skills, ownership, and autonomy.

Nice to have

  • Experience with semantic layers, metrics layers, or self-service analytics infrastructure.
  • Experience enabling LLMs or AI agents to query structured company data reliably.
  • Experience with high-volume API, inference, usage, event, real-time, or streaming data.
  • Experience with financial, billing, revenue, crypto, or other accuracy-critical datasets.

Culture & Benefits

  • Work as an individual contributor with significant technical ownership.
  • Join a SQL-focused engineering environment using GCP CloudSQL and PostgreSQL.
  • Work on a high-throughput database environment with tens of thousands of SQL statements per second and ongoing monthly growth.
  • Help build a privacy-focused, permissive consumer AI product centered on user sovereignty.

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