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Opendoor

Technology-driven real estate transactions platform

Agentic Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listedIn-person

About the Job

Requirements

  • Experience in analytics, data science, or data engineering, with increasing scope and ownership.
  • Expert-level SQL proficiency, including designing complex data models and optimizing them for human and AI consumption.
  • Strong Python proficiency for data engineering, automation, and AI agent development.
  • Experience with modern data warehouses such as Snowflake or BigQuery, or similar platforms, and the broader data stack, including dbt and Airflow.
  • Hands-on experience building and deploying AI agents or large language model-powered applications in production.
  • Deep understanding of large language model capabilities, limitations, and prompt engineering best practices.
  • Experience architecting semantic layers or natural language interfaces for data access.
  • Proven ability to identify high-return-on-investment automation opportunities and ship end-to-end solutions.
  • Track record of driving measurable business impact through analytics and influencing decisions.
  • Experience translating ambiguous, cross-functional business problems into technical solutions.
  • History of operating autonomously and setting direction rather than only executing defined projects.
  • 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.
  • Track record of building systems and processes that scale beyond the individual.
  • Ability to measure success by business impact and prioritize useful products over technical complexity.

Responsibilities

  • Design and deploy AI agents that monitor business performance and surface actionable insights proactively.
  • Architect systems that shift analytics from answering questions to anticipating needs.
  • Create intelligent alerting that distinguishes signal from noise and recommends specific actions.
  • Develop natural language interfaces that let business leaders query data conversationally.
  • Build semantic layers that translate business concepts into data structures optimized for large language model reasoning.
  • Ship internal tools that transform how the company makes decisions.
  • 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 improve AI systems over time.
  • 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 business impact, including decisions influenced.

Desired Qualifications

  • Experience in real estate, fintech, or marketplace businesses.
  • Background in marketing analytics, sales operations, product analytics, or pricing and economics.
  • History of building tools or platforms that replaced recurring analyst work.
  • Experience leading technical projects or small teams.

About the Company

Opendoor

Technology-driven real estate transactions platform

Opendoor is a technology-driven real estate company that focuses on simplifying the process of buying and selling homes in the U.S. For sellers, it offers cash offers generated by proprietary algorithms and market data; if a seller accepts, Opendoor buys the home directly, allowing a quick, hassle-free sale without listing or negotiating. For buyers, it provides a user-friendly platform to browse homes, schedule self-guided tours, make offers, and complete purchases online, with the option to use their own agent. The company differentiates itself through data-powered valuation, direct purchase offers, and an integrated online-to-offline experience that makes transactions faster and less stressful. Its goal is to streamline real estate transactions—making it easier, faster, and more transparent for both buyers and sellers while expanding its market reach across the United States.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Tempe, AZ
Founded
2014

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