This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer based in Canada.
This role sits at the core of a high-scale data platform powering real estate intelligence, property discovery, and AI-driven workflows across millions of listings and user interactions. You will design and operate large-scale data systems that ingest, normalize, and enrich property and behavioral data from hundreds of MLS feeds and external sources. The work directly enables customer-facing experiences such as search, recommendations, and AI-assisted operations. You will operate at the intersection of backend engineering, data infrastructure, and applied AI, helping turn complex, high-volume datasets into reliable and actionable products. The environment is highly technical and collaborative, with strong emphasis on ownership, scalability, and production-grade reliability. This is a senior-level role where your architectural decisions will shape how data flows across the entire platform.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer based in Canada.
This role sits at the core of a high-scale data platform powering real estate intelligence, property discovery, and AI-driven workflows across millions of listings and user interactions. You will design and operate large-scale data systems that ingest, normalize, and enrich property and behavioral data from hundreds of MLS feeds and external sources. The work directly enables customer-facing experiences such as search, recommendations, and AI-assisted operations. You will operate at the intersection of backend engineering, data infrastructure, and applied AI, helping turn complex, high-volume datasets into reliable and actionable products. The environment is highly technical and collaborative, with strong emphasis on ownership, scalability, and production-grade reliability. This is a senior-level role where your architectural decisions will shape how data flows across the entire platform.
Accountabilities:
- Own the architecture and evolution of large-scale data pipelines, including streaming and batch systems for MLS and property data
- Design and implement event-driven data flows using Kafka or similar messaging systems
- Build and maintain backend services and APIs in Python or Java to serve data to product and AI systems
- Develop scalable data processing workflows using Spark or Flink, orchestrated with tools such as Airflow
- Ensure high standards of data quality, lineage, governance, and reliability across all pipelines
- Implement observability practices including monitoring, alerting, logging, and operational runbooks
- Collaborate with product, ML, and engineering teams to support AI agents and data-driven features
- Mentor engineers and contribute to technical design reviews and architectural decisions
- 10+ years of software engineering experience, including ownership of large-scale production systems
- Strong experience building and operating data-intensive distributed systems at scale
- Proven experience in a senior, staff, or lead engineering role influencing architecture and technical direction
- Strong programming skills in Python or Java, with experience building microservices and APIs
- Hands-on experience with Kafka or equivalent event streaming systems (e.g., Kinesis, Pub/Sub)
- Strong expertise in Spark or Flink for large-scale batch and streaming data processing
- Experience with Airflow or similar orchestration tools and Kubernetes-based environments
- Strong SQL, data modeling, and ETL/ELT design experience
- Experience with cloud platforms (AWS preferred) and understanding of cost, scalability, and reliability tradeoffs
- Experience building or integrating AI/LLM-based systems, agents, or automation workflows is highly valued
- Familiarity with tools such as LangChain, PydanticAI, or similar frameworks is a plus
- Strong communication skills with the ability to influence technical and non-technical stakeholders
- Proven ability to mentor engineers and drive best practices across teams
- Competitive compensation aligned with senior/staff engineering roles
- Remote-friendly work environment within Canada
- Opportunity to work on large-scale, high-impact real estate data and AI systems
- Exposure to cutting-edge AI agent and LLM-powered workflows
- Strong ownership over architecture and platform direction
- Collaborative, high-growth engineering culture
- Opportunity to work with modern data stack technologies at scale
- Career growth in a fast-scaling, well-funded tech environment
- Inclusive and innovation-driven workplace culture
You will be responsible for designing, building, and scaling end-to-end data systems that power property intelligence, search, recommendations, and AI-driven workflows across a high-volume distributed architecture.
Requirements:
You are an experienced senior or staff-level data engineer with strong expertise in distributed systems, data platforms, and production-grade data pipelines, ideally with exposure to AI-driven products.