Agentic Analytics Engineer

Opendoor

Confirmed live yesterday High trust

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On-site
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Posted
122 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $202k
$140k most similar roles pay here $253k

This listing doesn't post a salary. Most similar roles pay $161,500–$241,750.

Based on 240 similar postings.

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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 31 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 build a pioneering Agentic Analytics team at the intersection of data science, data engineering, and AI. You will design and deploy AI agents that monitor business performance to surface proactive insights, develop natural language interfaces for conversational data queries, and architect semantic layers optimized for LLM reasoning. Your daily work involves building automated analytics-to-action pipelines, designing complex data models for pattern detection, and implementing end-to-end solutions using Claude and modern AI tooling. The role requires expert-level SQL, strong Python proficiency, and experience with Snowflake or BigQuery and the dbt and Airflow stack. You will solve the problem of reactive reporting by building intelligent systems that anticipate business needs and provide actionable recommendations rather than just static dashboards.

What you'll do

  • Design and deploy AI agents that monitor business performance and surface actionable insights automatically.
  • Architect systems to transition analytics from reactive question-answering to proactive need anticipation.
  • Develop natural language interfaces for business leaders to query data conversationally.
  • Build semantic layers that translate business concepts into data structures optimized for LLM reasoning.
  • Design data models specifically tailored for automated analysis, pattern detection, and AI agent interactions.
  • Create workflows that connect the generation of insights directly to recommended business actions.
  • Implement end-to-end solutions using Claude, custom agents, and modern AI tooling to augment decision-making.
  • Establish feedback loops to continuously improve the intelligence and accuracy of internal AI systems.

What we're looking for

  • 5+ years of experience in analytics, data science, or data engineering with increasing scope and ownership.
  • Expert-level SQL skills to design complex data models for both 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.
  • Proven ability to translate ambiguous business problems into technical solutions and influence senior stakeholders.

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