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4 дня назад

Software Engineer, Data (Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Software Engineer, Data (Data Engineering): Building and operating the data stack, including models, warehouses, pipelines, integrations, dashboards, and reporting systems with an accent on reliable, real-time insights for product, engineering, finance, and go-to-market teams. Focus on scaling data pipelines, improving data quality and observability, and supporting experimentation and self-serve analytics.

Location: San Francisco, CA; in-office 5 days per week, within walking distance of Caltrain

Company

Develops autonomous software engineering technology and the data systems used to operate the business.

What you will do

  • Build and refine data models and warehouse architecture for product analytics, usage reporting, and business operations.
  • Design, operate, and scale pipelines that move, transform, and validate data across internal and external systems.
  • Create integrations that unify third-party and operational data in a trusted environment.
  • Own core datasets, dashboards, and reporting used by leadership and business teams.
  • Drive data quality, observability, governance, and documentation while supporting self-serve analytics adoption.

Requirements

  • 4+ years of experience in data engineering or a full-stack data role.
  • Deep expertise in SQL and strong proficiency in JavaScript or Python.
  • Hands-on experience with data modeling, warehouse architecture, and BI-oriented schema design.
  • Operational experience with tools such as dbt, Airflow, or Dagster.
  • Experience supporting or building business intelligence environments.
  • Strong statistical intuition and experience running or supporting experimentation frameworks.

Culture & Benefits

  • Work directly with product, engineering, finance, and go-to-market functions.
  • Build systems that support reliable, real-time business insight.
  • Work in an in-office engineering environment in San Francisco.

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