Junior Python / Data Engineer

Querentia; Toronto; Hybrid; CAD 34,000 - 55,000; Part time

Job summary

Querentia is seeking a Junior Software / Data Engineer in Toronto, ON (Hybrid) for a 3-month contract with possible extension. The role focuses on Python-based development, data pipelines, APIs, and backend services, with PySpark/Spark data processing and team collaboration in an Agile environment.

The ideal candidate has 1–3 years of hands-on Python experience, exposure to data engineering tools, and a solid grasp of testing, cloud basics, and Git workflows to support delivery efforts.

Qualifications

• 1-3 years of experience in software development, data engineering, or related roles.
• Hands-on Python experience.
• Exposure to PySpark / Spark data processing.
• Experience building data pipelines, APIs, and backend services.
• Familiarity with Agile delivery practices.
• Basic cloud/database knowledge (AWS S3/IAM/RDS, PostgreSQL).
• Experience with Git, code reviews, and issue tracking.
• Understanding of unit/integration testing and data validation.

Responsibilities

• Develop, test, and maintain Python-based applications, data pipelines, APIs, backend services, or features.
• Work with PySpark and Spark-based data processing as part of data engineering.
• Deliver tasks based on defined requirements and technical direction.
• Participate in Agile/Scrum ceremonies (planning, stand-ups, reviews, retrospectives).
• Collaborate with developers, QA, and DevOps for delivery.
• Apply testing fundamentals: unit, integration, and data validation.
• Engage in Git-based workflows, pull requests, and code reviews.
• Support data and application workloads using cloud and DB services.
• Leverage AI-assisted coding tools to improve productivity and code quality.

Skills

1-3 years

Python

PySpark

Apache Spark

Git

Agile

Unit testing

Data validation

AWS S3

AWS IAM

AWS RDS

PostgreSQL

Airflow

Tools

Git

Airflow

Job description

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.

• Strong 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.