Agentic Analytics Engineer

Opendoor

Confirmed live today High trust

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On-site
Location
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Posted
165 days ago
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Confirmed live today

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Similar $204k
$140k $258k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.

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About Opendoor

Opendoor is a digital real estate marketplace that buys and sells homes directly to consumers, simplifying the home selling and buying experience through instant offers and transparent pricing. Industry: Real Estate Technology & iBuying

Opendoor currently has 21 open roles on FindRole.

Listed pay typically runs $156,800–$335,000 across 6 roles with salary data.

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At a glance

TL;DR · Agentic Analytics Engineer

As a Senior+ Agentic Analytics Engineer, you will join the Data organization to help build a pioneering Agentic Analytics team. In this high-impact role, you will design and deploy AI agents that proactively monitor business performance, surface actionable insights, and anticipate needs rather than just answering ad-hoc questions. You will build natural language interfaces, semantic layers for LLM reasoning, and automated analytics-to-action pipelines. The role requires expert-level SQL, strong Python proficiency, and experience with modern data warehouses like Snowflake or BigQuery, as well as dbt and Airflow. You must have hands-on experience building production AI agents, prompt engineering, and LLM-powered applications. This position solves the problem of reactive analytics by creating intelligent systems that distinguish signal from noise to influence business decisions.

What you'll do

  • Design and deploy AI agents that monitor business performance and surface actionable insights automatically.
  • Architect systems that shift analytics from answering questions to anticipating business needs.
  • Develop natural language interfaces to allow business leaders to query data conversationally.
  • Build semantic layers that translate business concepts into data structures optimized for LLM reasoning.
  • Design data models that support automated analysis, pattern detection, and AI agent interactions.
  • Build workflows that connect insight generation directly to recommended business actions.
  • Implement end-to-end solutions using Claude, custom agents, and modern AI tooling.
  • Measure the impact of AI systems on business decisions rather than just dashboard production.

What we're looking for

  • Experience in analytics, data science, or data engineering with increasing scope and ownership.
  • Expert-level SQL with the ability to design complex data models and optimize for human and AI consumption.
  • Strong Python proficiency for data engineering, automation, and AI agent development.
  • Experience with modern data warehouses like Snowflake or BigQuery and tools like dbt and Airflow.
  • 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.
  • Experience in real estate, fintech, or marketplace businesses (preferred).

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