Open Positions at Opendoor | Join Our Team

Opendoor

Hybrid

Quick summary

Work type: Hybrid
Location: Toronto, Ontario, Canada
Posted: 31 days ago
Nearby: 28 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $190k

$132k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $156,500–$223,750.

Based on 239 similar postings.

Employer

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 30 open roles on FindRole.

Listed pay typically runs $156,800–$337,450 across 6 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Open Positions at Opendoor | Join Our Team

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As a Senior Finance Data Engineer at Opendoor in Toronto, you will join the Finance team and work closely with senior leadership to enhance data leverage across financial systems. Your day-to-day responsibilities include designing AI agents for automating finance workflows, architecting data pipelines connecting Adaptive planning systems to Snowflake, and building semantic layers for natural language data access. You will also develop internal tools that automate manual processes, create self-service dashboards, and establish robust data quality frameworks. The role requires advanced SQL skills, Python proficiency, and experience with modern data warehouses like Snowflake. Additionally, you should have a deep understanding of LLMs, AI orchestration frameworks, and workflow automation tools. Ideal candidates will bring fintech or real estate tech experience, FP&A expertise, and the ability to translate complex business problems into technical solutions in a fast-paced environment.

Skills

Python Snowflake LLM SQL Gumloop LangChain LlamaIndex Adaptive BigQuery CI/CD API integrations Data governance Metadata management Semantic layers Natural language interfaces Workflow automation tools Modern data warehouses AI orchestration frameworks

What you'll do

Design and deploy AI agents to automate data fetching, analysis, reporting, and forecasting workflows.
Architect data pipelines connecting financial planning systems to Snowflake and downstream applications.
Build semantic layers enabling non-technical finance team members to access data through natural language.
Develop internal tools transforming manual finance processes into automated, scalable products.
Create dashboards and self-service interfaces eliminating analyst bottlenecks in the finance department.

What we're looking for

At least 3+ years of experience in data systems within finance or analytics roles.
Track record of deploying AI agents and LLM-powered applications in production.
Advanced SQL skills with expertise in designing complex data models and optimizing queries.
Hands-on experience with modern data warehouses like Snowflake, Python for automation, and AI agent development.
Deep understanding of LLM capabilities, prompt engineering, and semantic layer design.
Experience identifying high-value automation opportunities and implementing end-to-end solutions.
Strong data modeling skills focusing on enabling both human analysts and AI agents.

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