Junior Python / Data Engineer Job Type:

Contract Location:

Toronto, ON Hybrid Duration:

3 Months, Possible Extension

Role Summary We are seeking a

Junior Software / Data Engineer

with 1 3 years of experience in software development, data engineering, backend application development, or a related technical role.

The ideal candidate will have hands‑on

Python

experience, exposure to

PySpark/Spark‑based data processing , and experience working within a development team on data pipelines, APIs, backend services, or application features.

The candidate should be comfortable working from defined requirements and technical direction, participating in Agile delivery, and collaborating with development, QA, and DevOps teams.

Key Responsibilities

Develop, test, and maintain

Python‑based applications, data pipelines, APIs, backend services, or application features .

Work with

PySpark and Spark‑based data processing

as part of data engineering activities.

Deliver assigned development tasks based on defined requirements and technical direction.

Participate in

Agile/Scrum ceremonies , including sprint planning, daily stand‑ups, reviews, and retrospectives.

Work with developers, QA, and DevOps teams to support development and delivery activities.

Apply testing fundamentals, including:

Unit testing

Integration testing

Data validation

Participate in

Git‑based development workflows ,



pull requests, code reviews, and issue tracking.

Support data and application workloads using cloud and database services.

Leverage AI‑assisted coding tools to improve developer productivity and code quality.

Required Skills & Experience

1 3 years

of experience in software development, data engineering, backend application development, or a related technical role.

Hands‑on experience with

Python .

Exposure to

PySpark, Apache Spark , or similar data engineering tools.

Experience building, testing, or maintaining:

Data pipelines

APIs

Backend services

Application features

Ability to work from defined requirements and technical direction.

Familiarity with

Agile development

practices.

Basic working knowledge of cloud or database services such as:

AWS S3

AWS IAM

AWS RDS

PostgreSQL

Experience with

Git , pull requests, code reviews, and issue tracking tools.

Good understanding of

unit testing, integration testing, and data validation .

Robust communication and collaboration skills.

Preferred / Asset Skills

Exposure to workflow orchestration tools such as

Airflow .

Experience or interest in AI-assisted coding tools such as:

GitHub Copilot

Cursor

Codex CLI

Ability to collaborate effectively with developers, QA, and DevOps teams.

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📌 Junior Python / Data Engineer (Winnipeg)
🏢 Querentia
📍 Winnipeg