Data Engineer (Python)

Toronto, ON
Hybrid
Posted Oct 2, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 4 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Manipulate, transform, and analyze large datasets using Python, pandas, and polars, while optimizing code performance. Build Docker images and multi-container applications, support Kubernetes-based deployments, and work with ClickHouse or similar columnar databases for analytical workloads.

Job details

Iris's Fortune 100 direct client is looking Data Engineer (Python). Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com. Position: Data Engineer (Python) Toronto: Toronto, ON (Hybrid, 4 days onsite in a week) Must-have: Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets. Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management. Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.

What you’ll do

Requirements

Requires advanced proficiency in Python, pandas, and polars, including experience optimizing code for large datasets. Candidates should have hands-on Docker experience, knowledge of Kubernetes, and working knowledge of ClickHouse or a similar columnar database.