Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаТолько СШАСовременный стекЧёткая ответственностьСфера AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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