Senior Data Engineer

Perform; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A technology company in Toronto, Ontario is looking for a Senior Data Engineer to design and deliver production-grade data solutions. The role involves developing data pipelines, ensuring data integrity, and collaborating with teams. Candidates should have at least 4 years of experience and strong skills in Python and data architecture. Familiarity with cloud platforms is a plus.

Qualifications

• 4+ years of experience in delivering production-grade data solutions.
• Strong software engineering skills focused on modular design and reusable code.
• Proficiency in Python for data processing.

Responsibilities

• Design and implement reusable libraries for scalable data solutions.
• Develop and maintain data pipelines using Python.
• Collaborate with stakeholders to understand data requirements.

Skills

Python

Data processing

Modular design

Collaboration

Data integrity

Tools

SQL

Apache Airflow

Job description

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We are seeking a skilled Data Engineer with a strong software engineering foundation to join our dynamic team. In this role, you will design, develop, and deliver production-grade data solutions that drive business value. You will collaborate with cross-functional teams to build scalable, reusable data pipelines and systems, ensuring high performance, reliability, and maintainability.

Key Responsibilities

• Design and implement modular, reusable core shared libraries to support scalable data solutions.
• Develop and maintain robust data pipelines using Python to process and transform JSON and relational data.
• Collaborate with stakeholders to understand data requirements and deliver production-ready solutions.
• Optimize data workflows for performance, scalability, and reliability in production environments.
• Ensure data integrity, quality, and accessibility across systems and applications.
• Contribute to best practices for data engineering, including code reviews and documentation.

Must-Have Qualifications

• Minimum of 4+ years experience delivering production-grade data solutions.
• Strong software engineering skills with a focus on modular design and reusable code.
• Proficiency in Python for data processing and pipeline development.
• Extensive experience working with JSON data and relational databases (e.g., SQL).
• Ability to architect efficient, scalable solutions for complex data challenges.
• Proven ability to work effectively with cross-functional teams.

Nice-to-Have Qualifications

• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for data engineering tasks.
• Knowledge of data orchestration tools (e.g., Apache Airflow) or modern data frameworks.

This position is open to candidates in Latin America and Canada only.

Seniority level: Not Applicable

Employment type: Other

Job function: Information Technology

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