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Agentic Analytics Engineer
Уникальная вакансия на острие технологий (Agentic AI) в известной компании. Высокий потенциал влияния на продукт и возможность формировать стандарты новой дисциплины в аналитике.
Сложность вакансии
Роль требует редкого сочетания глубокой экспертизы в Data Engineering (SQL, dbt, Snowflake) и практического опыта разработки AI-агентов. Высокий уровень ответственности (Senior+) подразумевает способность самостоятельно определять стратегию и влиять на бизнес-решения.
Анализ зарплаты
Указанная роль Senior+ уровня в Торонто в сфере AI/Data обычно оплачивается выше среднего по рынку из-за дефицита специалистов на стыке LLM и Data Engineering. Предлагаемый диапазон соответствует топовым технологическим компаниям Канады.
Сопроводительное письмо
I am writing to express my strong interest in the Senior+ Agentic Analytics Engineer position at Opendoor. With over 5 years of experience at the intersection of data engineering and AI, I am particularly drawn to Opendoor's 'Default to AI' philosophy. My background in building LLM-powered applications and architecting complex data models in Snowflake and dbt aligns perfectly with your mission to move beyond reactive dashboards toward proactive, agentic intelligence.
In my previous roles, I have focused on creating semantic layers that bridge the gap between raw data and business logic, much like the systems you are building to enable natural language querying. I am a firm believer in shipping high-impact products rather than just maintaining reports, and I am excited by the prospect of designing AI agents that not only monitor performance but actively recommend strategic actions to leadership.
I am impressed by Opendoor's commitment to transforming the homeownership experience and would welcome the opportunity to bring my technical expertise in Python, SQL, and prompt engineering to your Agentic Analytics team. Thank you for your time and consideration.
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Откликнитесь в opendoor уже сейчас
Станьте архитектором будущего аналитики в Opendoor и создавайте AI-агентов, которые изменят правила игры в индустрии недвижимости!
Описание вакансии
**About the Team**
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
**Why This Role**
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
**What You'll Do**
**Build Proactive Intelligence Systems**
- Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
- Architect systems that shift analytics from "answering questions" to "anticipating needs"
- Create intelligent alerting that distinguishes signal from noise and recommends specific actions
**Create AI-Powered Analytics Tools**
- Develop natural language interfaces that let business leaders query data conversationally
- Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
- Ship internal tools that transform how Opendoor makes decisions at every level
**Own the Analytics-to-Action Pipeline**
- Design data models that support automated analysis, pattern detection, and AI agent interactions
- Build workflows that connect insight generation to recommended actions
- Establish feedback loops that make our AI systems smarter over time
**Drive Leverage Across the Business**
- Identify high-value opportunities where AI can augment human decision-making
- Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
- Measure impact rigorously—we care about decisions influenced, not dashboards built
**We're Looking for Teammates Who Have**
**Technical Foundation**
- 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
- Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
- Strong Python proficiency for data engineering, automation, and AI agent development
- Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
**AI & Automation Expertise**
- Hands-on experience building and deploying AI agents or LLM-powered applications in production
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
**Analytics & Business Acumen**
- Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
- Strong analytical intuition—you know what questions matter before they're asked
- Experience translating ambiguous, cross-functional business problems into technical solutions
- History of operating autonomously and setting direction, not just executing on defined projects
**Leadership & Influence**
- Experience mentoring other analysts or engineers, formally or informally
- Demonstrated ability to influence senior stakeholders and drive alignment across teams
- Comfort operating in ambiguity and shaping strategy, not just responding to it
- Track record of building systems and processes that scale beyond yourself
**Builder Mindset**
- You ship products, not just dashboards
- You'd rather build something useful in a week than something perfect in a quarter
- You measure success by business impact, not technical complexity
- You're energized by creating leverage—building once so others benefit forever
**Bonus Points If You Have**
- Experience in real estate, fintech, or marketplace businesses
- Background in marketing analytics, sales operations, product analytics, or pricing/economics
- History of building tools or platforms that replaced recurring analyst work
- Experience leading technical projects or small teams
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
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Навыки
- SQL
- Python
- Snowflake
- BigQuery
- dbt
- Airflow
- LLM
- Prompt Engineering
- Data Modeling
- Claude
Возможные вопросы на собеседовании
Проверка опыта работы с LLM в реальных условиях и понимания их ограничений.
Расскажите о самом сложном AI-агенте или LLM-приложении, которое вы вывели в продакшн: с какими проблемами галлюцинаций или точности данных вы столкнулись?
Оценка навыков проектирования архитектуры данных для AI-потребления.
Как бы вы спроектировали семантический слой, чтобы LLM могла эффективно и безопасно генерировать SQL-запросы к сложной схеме данных?
Проверка умения приоритизировать задачи на основе бизнес-ценности.
Как вы определяете, какой аналитический процесс стоит автоматизировать с помощью AI в первую очередь, а какой оставить человеку?
Оценка владения современным стеком данных.
Опишите ваш опыт работы с dbt и Airflow: как вы обеспечиваете качество данных в пайплайнах, которые питают критически важные AI-системы?
Проверка лидерских качеств и умения работать в условиях неопределенности.
Приведите пример, когда вы убедили руководство внедрить инновационное решение вместо традиционного подхода. Каких результатов удалось достичь?
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