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opendoor
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США
Зарплата
186 000 $ – 256 000 $
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SeniorУдалённоПолная занятость

Agentic Analytics Engineer

Оценка ИИ

Исключительная вакансия для тех, кто хочет стоять у истоков Agentic AI в крупной компании. Высокая зарплата, работа с передовым стеком (Claude, dbt, Snowflake) и сильная инженерная культура делают это предложение очень привлекательным.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубокой экспертизы в Data Engineering (SQL, dbt, Snowflake) и практического опыта разработки ИИ-агентов. Высокий уровень ответственности (Senior+) и необходимость работать в условиях неопределенности повышают порог входа.

Анализ зарплаты

Медиана210 000 $
Рынок175 000 $ – 260 000 $
Оценка ИИ

Предложенная зарплата ($186k - $256k) находится на верхней границе рынка для Senior/Staff ролей в области Data Engineering и AI в Сиэтле. Это подчеркивает высокую ценность редких навыков на стыке аналитики и ИИ.

Сопроводительное письмо

I am writing to express my strong interest in the Senior+ Agentic Analytics Engineer position at Opendoor. With over five years of experience at the intersection of data engineering and analytics, I have consistently focused on building systems that move beyond static reporting toward proactive, automated intelligence. My background in architecting complex SQL models and developing Python-based automation aligns perfectly with your 'Default to AI' philosophy.

In my previous roles, I have successfully deployed LLM-powered applications and semantic layers that allow non-technical stakeholders to interact with data naturally. I am particularly drawn to Opendoor's mission of building an Agentic Analytics team that prioritizes 'decisions influenced' over 'dashboards built.' I am eager to bring my builder mindset and technical expertise in Claude and modern data stacks to help Opendoor anticipate business needs and automate the analytics-to-action pipeline.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в opendoor уже сейчас

Присоединяйтесь к команде Opendoor, чтобы создавать будущее аналитики на базе ИИ и определять новые стандарты индустрии!

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

The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.  We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

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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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • SQL
  • Python
  • Snowflake
  • BigQuery
  • dbt
  • Airflow
  • LLM
  • Prompt Engineering
  • Claude
  • Data Modeling

Возможные вопросы на собеседовании

Проверка опыта работы с LLM в реальных условиях.

Расскажите о самом сложном ИИ-агенте или LLM-приложении, которое вы вывели в продакшн: с какими ограничениями моделей вы столкнулись и как их обошли?

Оценка навыков проектирования данных для автоматизации.

Как вы подходите к проектированию семантического слоя данных, чтобы он был максимально эффективен для интерпретации большими языковыми моделями (LLM)?

Проверка продуктового мышления и ориентации на результат.

Приведите пример, когда ваша аналитическая работа напрямую привела к изменению бизнес-стратегии, а не просто к созданию отчета.

Оценка технических навыков в области Data Engineering.

В чем заключаются основные сложности обеспечения качества данных (Data Quality) при построении систем проактивного оповещения на базе ИИ?

Проверка лидерских качеств и работы в неопределенности.

Как вы приоритизируете задачи в условиях, когда нужно выбирать между созданием быстрого прототипа за неделю и разработкой идеальной масштабируемой системы?

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opendoor
Страна
США
Зарплата
186 000 $ – 256 000 $