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4 дня назад

Senior Data Engineer (AI)

14 583 - 17 083$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
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 Data Engineer (AI): Owns ingestion, transformation, warehousing, and product analytics foundations for an AI-focused engineering operations platform with an accent on dbt, BigQuery, data quality, and trustworthy reporting. Focus on consolidating fragmented data systems, designing reliable high-volume pipelines, and building data foundations for AI automation and streaming telemetry.

Location: Fully remote within the United States, with occasional company offsites.

Salary: $175,000–$205,000 per year, plus equity and benefits.

Company

hirify.global is a YC-backed engineering operations platform providing visibility, governance, workflows, and AI-powered tools for software engineering organizations.

What you will do

  • Own end-to-end data pipelines covering ingestion, dbt transformations, BigQuery warehousing, and delivery to Omni reporting.
  • Audit and consolidate Segment, Hevo, BigQuery, and Omni into a trustworthy single source of truth.
  • Build dbt models with testing, documentation, data contracts, observability, and reliability practices.
  • Own product analytics, including instrumentation, event tracking, usage models, adoption metrics, and reporting.
  • Partner with GTM operations, product, and marketing to support AI automation, reporting, and external research.
  • Prepare foundations for high-volume and streaming ingestion, including telemetry and OpenTelemetry.

Requirements

  • 4+ years of hands-on experience building and owning production data pipelines.
  • Proficiency with dbt, BigQuery or an equivalent cloud data warehouse, and ETL/ELT tooling.
  • Strong SQL and proficiency in a general-purpose programming language such as Python.
  • Solid data modeling judgment with a focus on quality, testing, and reliability.
  • Ability to rationalize complex data environments and collaborate with non-engineering stakeholders.
  • Fluent English required; critical, hands-on use of AI in engineering is expected.

Nice to have

  • Experience with high-volume or streaming systems such as ClickHouse or OpenTelemetry.
  • Experience with CDP or ETL tools such as Segment or Hevo.
  • Previous startup experience.

Culture & Benefits

  • Fully remote work with flexible working hours and occasional company-wide offsites.
  • Medical, dental, and vision insurance fully covered for employees.
  • Unlimited paid time off and gender-neutral parental leave.
  • 401(k) plan, pet insurance, and monthly perks stipend.
  • $1,000 annual learning and development stipend.

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