Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Очень мало
$150к-200к/год
$180к$200кмедиана$240к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.8к/мес ($2.9к - $4.3к)
70
Хорошая вакансия
развернуть
Это хорошо описанная роль с современным стеком и хорошими льготами, но зарплата ниже рыночного ориентира, а работа на этапе проверки новой идеи связана с неопределённостью.
Кликните для подробной информации
Зарплата ниже рынкаСовременный стекПонятная рольНовый проектХорошие льготы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Engineer (AI): Building data pipelines, models, and semantic layers for a predictive personalization engine that helps anticipate clients’ future home service needs, with an accent on dbt, Airflow, Snowflake, event-driven data, and AI-assisted coding. Focus on integrating personalization signals into CRM and marketing channels, preparing data for machine learning, and rapidly validating in-market retention experiments.
Location: Hybrid, requiring two days per week in the San Francisco office every Tuesday and Wednesday. Candidates must be legally authorized to work in the United States without current or future employer sponsorship.
Base pay: $150,000–$200,000 per year, excluding bonus, benefits, and other compensation.
Company
hirify.global is a marketplace platform connecting clients with Taskers for home services including furniture assembly, handyman work, and moving help.
What you will do
Build and maintain data pipelines and models covering client home profiles, job history, and seasonal or event-driven signals.
Prepare data models for predictions about which home service a client may need and when.
Connect personalization signals to email, SMS, push, onsite, CRM, and marketing channels.
Develop dbt models and semantic layers for measuring in-market retention and personalization experiments.
Use AI coding assistants to scaffold pipelines, write tests, review code, and accelerate delivery.
Collaborate with Product, Design, Marketing, BizOps, Machine Learning, Engineering, and Solutions Architecture partners.
Requirements
Experience building and maintaining ELT pipelines with dbt, Airflow, Fivetran, or comparable tools.
Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Strong data modeling skills, including dimensional modeling and star or snowflake schemas.
Proficiency in SQL and at least one general-purpose programming language such as Python, Java, or Scala.
Regular use of AI coding assistants such as Copilot, Cursor, or Claude Code, including reviewing and validating generated code.
Must be legally authorized to work in the United States without employer sponsorship.
Nice to have
Familiarity with BI or semantic-layer tools such as Looker, Mode, or Tableau.
Experience with streaming platforms such as Kafka or Kinesis and real-time event processing.
Comfort working with ambiguity on a discovery-stage team.
Culture & Benefits
Hybrid work with regular in-person collaboration.
Employer-paid health insurance and a 401(k) match with immediate vesting for US-based employees.
Flexible time off and two company-wide closure weeks.
Product, wellness, productivity, and education stipends, plus IKEA discounts and reproductive health support.
Benefits vary by country of employment.
Hiring process
Initial application prescreening may use an AI-assisted tool for US-based candidates.
Applicants may opt out of AI-assisted prescreening and receive manual review.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →