Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$165к-250к/год
$180к$200кмедиана$230к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.7к/мес ($3к - $4.8к)
87
Крутая вакансия
развернуть
Чёткая зона ответственности на уровне Staff, современный стек данных и финансируемая AI-компания делают вакансию значимой; главный нюанс - широкий круг задач в быстрорастущем стартапе.
Кликните для подробной информации
Широкая зона ответственностиАктуальный стек данныхAI в строительствеСильные инвестицииТри дня в офисе
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Analytics Engineer (AI): Building and scaling PermitFlow’s analytics infrastructure, including the data warehouse, dbt models, pipelines, and core metrics, with an accent on AI-powered analytics and business decision support. Focus on designing data quality and governance standards, leveraging LLMs for self-service insights, and leading ambiguous cross-functional data initiatives.
Location: New York City, NY; hybrid schedule with 3 in-office days per week. NYC-based candidates are preferred, and relocation to the United States is welcomed.
Salary: $165K–$250K per year, plus equity and bonus opportunities.
Company
hirify.global is an applied AI company building software that helps construction companies manage permitting, licensing, inspections, and project closeouts.
What you will do
Design, build, and scale the data warehouse, dbt models, data pipelines, and core metrics.
Translate complex business questions into actionable insights, predictive models, and strategic recommendations.
Use LLMs and AI-powered tools to automate routine analysis and enable self-service data insights.
Establish best practices for data modeling, quality, testing, governance, and analytics infrastructure.
Partner with Engineering, Product, Operations, Customer Success, and company leadership to define KPIs and influence decisions.
Shape the long-term data strategy, tooling, and technical standards.
Requirements
Extensive experience in analytics engineering, data analytics, or BI, including ownership of complex, high-impact initiatives.
Expert SQL skills and deep hands-on experience with dbt, data modeling, and modern cloud data warehouses.
Strong Python skills and experience building scalable data pipelines and analytics infrastructure.
Practical experience using LLMs or AI-powered tools to improve analytics workflows and data accessibility.
A full-stack data mindset combining engineering fundamentals, analytical depth, and business intuition.
Ability to independently lead ambiguous, cross-functional projects and influence technical and business decisions.
Strong communication skills, a builder’s mindset, and enthusiasm for shaping an evolving AI-native data function.
Culture & Benefits
High-growth, AI-native environment with meaningful ownership over the data function.
Competitive salary, meaningful equity, and bonus opportunities.
100% company-paid medical, dental, and vision coverage, plus a healthcare FSA.
401(k) savings plan, unlimited PTO, and paid family leave.
Home office and equipment stipend, daily in-office lunch and dinner, and commuter benefits for pre-tax transit and parking.
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 →