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Iris Software Inc.

Sr Python Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Python Developer

Location: Toronto Ontario- hybrid 4 days

Contract to hire

Job Summary

Job Description

We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools. In this role, you'll work with large-scale datasets, containerized systems, and distributed computing platforms to deliver robust data solutions.

Key Responsibilities

Develop and optimize data manipulation workflows using pandas and polars to handle large datasets efficiently. Design and implement containerized applications using Docker and Kubernetes to ensure scalable, reliable deployments. Build and maintain data pipelines integrating with ClickHouse columnar databases for analytical workloads. Develop event-driven architectures using NATS messaging systems for asynchronous data processing. Write comprehensive unit tests using pytest to ensure code quality and reliability. Implement distributed computing solutions with Dask for processing data beyond single-machine memory constraints. Manage version control using Git and collaborate on code repositories following best practices.

Required Skills and Experience

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.
Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.
Distributed Computing: Experience with Dask for parallel processing and handling out-of-core computations.
Version Control: Strong command of Git workflows, branching strategies, and collaborative development practices.

Preferred Qualifications

Experience with additional Python libraries for data science and machine learning. Familiarity with CI/CD pipelines and DevOps practices. Background in financial services or capital markets data systems.

Thanks & Regards,

Navin Singh

Recruiter – Talent Acquisition Group

Phone: 973-370-7023

Address: 200 Metroplex Drive, Suite 300, Edison, NJ 08817

Mail: Navin.singh@irissoftware.com

www.irissoftware.com

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More about this job

Responsibilities

Develop and optimize high-performance data processing workflows and pipelines using Python, pandas, and polars, including integration with ClickHouse and NATS. Build containerized and distributed solutions with Docker, Kubernetes, and Dask, and maintain code quality through pytest and collaborative Git practices.

Requirements

Requires advanced Python proficiency, experience with pandas and polars, and hands-on knowledge of Docker, Kubernetes, ClickHouse or similar databases, NATS, pytest, Dask, and Git. Experience with CI/CD, DevOps, data science or machine learning libraries, or financial services and capital markets data is preferred.

Skills

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Pipelines
Distributed Computing
Unit Testing
CI/CD
DevOps
Financial Services

Visa sponsorship

Not detected in the job text

Hiring contact

Navin Singh

Hiring contact email

Navin.singh@irissoftware.com

Keywords

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Engineering
Data Processing Pipelines
Large-Scale Datasets
Containerization
Distributed Computing
Parallel Processing
Out-Of-Core Computation
Columnar Databases
OLAP
Analytical Queries
Event-Driven Architecture
Asynchronous Processing
Unit Testing
Integration Testing
Code Coverage
CI/CD
DevOps
Data Science
Machine Learning
Financial Services

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