Data Engineer

Hays; Ontario; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A rapidly growing technology company is seeking a Data Engineer to build robust scripts and automation tools for data management. You'll design scalable data pipelines, leverage AI tools, and ensure efficient data acquisition and integration. This role offers remote flexibility and a dynamic startup environment.

Benefits

Unlimited paid-time off

Quarterly virtual team events

No formal dress code

Branded swag

Qualifications

• Proficiency with APIs, JSON, XML, and CSV formats.
• Experience with cloud platforms and databases.

Responsibilities

• Develop and maintain automated scripts for data extraction.
• Build scalable ETL pipelines to optimize raw data.
• Monitor and optimize data pipelines for performance.

Skills

APIs

JSON

XML

CSV

Problem Solving

Communication

Tools

AWS

GCP

Azure

PostgreSQL

MySQL

Git

Docker

Kubernetes

Job description

We are hiring a Data Engineer for a rapidly growing technology company that is transforming how businesses manage and optimize their data processes. This role focuses on building robust scripts and automation tools for sourcing, cleaning, and maintaining catalogue information from various sources. You will design scalable data pipelines, leverage AI tools, and ensure efficient data acquisition, validation, and integration.

Key Responsibilities

1. Develop and maintain automated scripts for data extraction and processing.
2. Build scalable ETL pipelines to structure and optimize raw data.
3. Validate, deduplicate, and enrich catalogue data to ensure integrity.
4. Utilize AI models for data extraction, classification, and enhancement.
5. Monitor, debug, and optimize data pipelines for performance.
6. Work with engineering and product teams to integrate data into internal tools.
7. Ensure compliance with data collection policies and best practices.

Requirements

• Proficiency with APIs, JSON, XML, and CSV data formats.
• Experience with cloud platforms (AWS, GCP, Azure) for storage and processing.
• Knowledge of relational (PostgreSQL, MySQL) and NoSQL databases.
• Familiarity with version control (Git), CI/CD workflows, and automation tools.
• Strong problem-solving skills and ability to thrive in a fast-paced environment.
• Excellent communication skills and experience collaborating across teams.

Bonus Skills

• Expertise in web scraping frameworks and data visualization tools (Tableau, Looker, Power BI).
• Experience with DevOps tools (Docker, Kubernetes) and SEO/data optimization.

Why Join?

• Unlimited paid-time off
• Quarterly virtual team events
• No formal dress code—you’ll even get branded swag!
• Work in a fast-growing startup with a huge industry impact.

Location & Travel

• Toronto-based team with remote flexibility.
• Regular in-person meetups for collaboration and fun activities.
• May require local and business travel, depending on project needs.

1119354 - Casey Thompson