Senior Data Engineer
altusgroup · Toronto, Ontario · Canada · Remote
Pay: CAD 140,000 – 165,000 a year
Posted Sep 17, 2026
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Compensation Range:
$140,000 - $165,000 CAD
Compensation Disclaimer: The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.
The opportunity
Reporting to the Head of Data Science, we are hiring a Senior Data Engineer to support Altus Labs, Altus Group’s hub for innovation in commercial real estate. As our new Senior Data Engineer, you will own data pipeline architecture and platform infrastructure end-to-end, from ingestion through delivery to the Data Scientists, ML Engineers, and platform services that depend on it. You will combine hands-on technical execution with thoughtful architectural decision-making, helping build reliable, scalable data infrastructure that supports analytics and machine learning.
You will work across Data Engineering, Data Science, ML Engineering, and platform teams to establish technical standards, improve data quality, and develop reusable tools and frameworks. Your work will help strengthen how data is built, managed, monitored, and delivered across Altus Labs while supporting the continued evolution of its commercial real estate data capabilities.
This is a full time remote position open to candidates based within Canada or the UK.
What’s in it for you
Own meaningful technical work from end to end. You will have the opportunity to shape the architecture, reliability, and operational health of data infrastructure that supports analytics and machine learning. Your decisions will influence how data is modeled, orchestrated, monitored, and delivered across the team.
Solve complex data engineering challenges. You will work with distributed systems, cloud data platforms, batch and streaming pipelines, and production-scale data infrastructure. Your work will involve solving challenging technical problems while creating solutions that are reliable, maintainable, and designed to evolve.
Support innovation in commercial real estate. You will build the data foundation that Data Scientists, ML Engineers, and platform services rely on. Your work will help improve data quality, scalability, and accessibility so teams can develop more effective analytics and machine learning solutions.
Grow your influence through expertise. You will have opportunities to contribute to technical design, reusable engineering practices, documentation, code reviews, and mentorship. Your knowledge and judgment will help strengthen the team’s technical capabilities and improve the practice of data engineering.
As our new Senior Data Engineer, you will:
Design and own data pipelines. You will design, build, and maintain batch and streaming data pipelines from ingestion through delivery. You will make practical decisions about data…