Python Data Engineer — Hybrid Toronto | Docker & Kubernetes
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Summary
Builds and optimizes data processing and analytics pipelines for a Fortune 100 client in Toronto using Python, Pandas, and Polars, with workloads containerized in Docker, orchestrated on Kubernetes, and backed by columnar databases like ClickHouse for OLAP. Hybrid role with four days onsite per week.
Iris Software Inc. is seeking a Python Data Engineer for our Fortune 100 direct client in Toronto. The role is hybrid with four days onsite per week, focusing on advanced data processing and analytics using Python, Pandas, and Polars.
Candidates should have hands-on experience with Docker, Kubernetes, and columnar databases like ClickHouse to support OLAP workloads and efficient data pipelines.