Remote Data Engineer Jobs in Canada
Search 67 work from home data engineer positions available in Canada. Your career in truly remote companies - apply today.
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1 hour ago
Job not on LinkedIn
Senior Data Engineer at Datatonic designing scalable data solutions using Google Cloud. Collaborating with a team to implement best practices in data engineering and analytics.
🇨🇦 Canada – Remote
💵 CAD$110k - CAD$140k / year
💰 Pre Seed Round on 2013-01
⏰ Full Time
🟠 Senior
🚰 Data Engineer
1 hour ago
Job not on LinkedIn
Data Engineer working with AI and data engineering projects at Datatonic. Collaborating with teams on cloud-based data solutions and building data infrastructures.
🇨🇦 Canada – Remote
💵 $80k - $110k / year
💰 Pre Seed Round on 2013-01
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
1 hour ago
Junior Data Engineer at KOHO, a fintech company, developing data pipelines and ensuring data quality for their financial services platform.
20 hours ago
Fluent, Inc
201 - 500
Data Engineer responsible for designing scalable data pipelines at performance marketing company. Collaborating with clients and internal teams to translate data into actionable insights.
3 days ago
Job not on LinkedIn
Data Engineer at eServices focuses on creating data solutions for accessibility and analysis. Collaborates with teams to enhance data quality and support business decisions.
6 days ago
Job not on LinkedIn
Team Lead overseeing a high-performing data engineering team at Q4, an AI-driven investor relations platform. Responsible for building data pipelines and mentoring team members.
November 27
Data Engineer specializing in data pipelines for AI systems at Cohere. Designing, implementing, and optimizing frameworks for efficient language model training.
November 26
Job not on LinkedIn
Senior Data Engineer designing data solutions using Microsoft Fabric for digital transformation. Collaborating with cross-functional teams to optimize data pipelines and architectures remotely.
November 25
Job not on LinkedIn
Senior Data Engineer responsible for building scalable data solutions and supporting teams leveraging data at Jobber. Transforming operations and enhancing workflows within a cloud infrastructure.
November 25
Staff Data Engineer at Jobber shaping data platform future while mentoring a team. Design scalable data systems and ensure high data quality for analytics and reporting.
November 25
Job not on LinkedIn
Manager, Data Engineering leading data engineers to build data infrastructure for Jobber. Shaping technical decisions and mentoring team members in data engineering best practices.
November 22
Data Engineer developing ETL and data analytics strategies for fusionSpan. Working autonomously in a remote environment with global team collaboration.
November 22
Senior Data Engineer designing and implementing data warehouses and pipelines for Leap Tools. Collaborating with engineering, ML, and product teams on data strategy.
November 20
Hopper
201 - 500
Data Engineer responsible for building robust data pipelines and analytics systems for Hopper’s advertising business. Collaborate with engineering teams to ensure data integrity and enable insights.
November 19
Data Engineer designing and maintaining data sets and data warehouses for a home care app. Collaborating with cross-functional teams to enhance data practices and quality at Thumbtack.
November 19
Job not on LinkedIn
Senior Data Engineer supporting major analytics initiatives in a healthcare-focused environment. Designing data pipelines and building data models with scalable solutions.
Informatica
November 19
Job not on LinkedIn
Data Engineer providing support and expertise in data engineering. Managing data operations and enhancing data pipelines while ensuring compliance with KPIs.
November 18
Docker, Inc
51 - 200
Senior Manager leading Data Engineering at Docker, driving innovative data analytics and infrastructure. Collaborating across teams to enable data-driven decision-making and support product development.
🇨🇦 Canada – Remote
💵 $231.6k - $318.5k / year
💰 $105M Series C on 2022-03
⏰ Full Time
🟠 Senior
🚰 Data Engineer
November 15
Job not on LinkedIn
Data Engineer designing and optimizing data pipelines and warehouses leveraging Snowflake & DBT. Permanent, full-time remote position in Canada for a dynamic tech environment.
🗣️🇫🇷 French Required
November 14
Job not on LinkedIn
Data Architect supporting clients with data architecture and analytics solutions at 3Pillar. Collaborating with business leaders to derive value from their data and implement architecture roadmaps.
+48 More Data Engineer Jobs Available!
Top Companies Hiring Remote Data Engineers in Canada
Remote data engineer salary expectations in Canada
The average salary for remote data engineers in Canada is CA$179,583 per year. This is based on data from 306 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Data Engineer (0 yrs) | 1 | CA$0 |
🟢 Junior Data Engineer (1-2 yrs) | 13 | CA$142,500 |
🟡 Mid-level Data Engineer (2-4 yrs) | 114 | CA$156,446 |
🟠 Senior Data Engineer (5-9 yrs) | 149 | CA$186,148 |
🔴 Lead Data Engineer (10+ yrs) | 29 | CA$259,615 |
How long does it take for companies to hire a remote data engineer in Canada?
We analyzed 208 job listings in the last year and found it takes about 50 days for employers to close a job opening.
The most in-demand skills for data engineers in Canada
We reviewed 306 job postings and found the top 10 skills employers are asking for most often are:
Frequently asked questions
You need strong programming skills in languages like Python, Java, or Scala, expertise in SQL and NoSQL databases, and experience with data warehousing solutions. Familiarity with ETL tools, big data technologies such as Hadoop or Spark, and knowledge of cloud platforms like AWS or Azure are also important.
Typically, you need a degree in computer science, information technology, or a related field. Relevant certifications in data engineering or cloud technologies can enhance your qualifications, but hands-on experience and a solid portfolio of data projects are crucial.
Responsibilities include designing and maintaining data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, optimizing database performance, and implementing data security measures. You will also need to monitor data flow and troubleshoot issues.
Benefits include flexible scheduling, the option to work from anywhere, reduced travel and commuting costs, and a better work-life balance. Working remotely allows for collaboration with global teams and access to diverse projects.
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Frequently asked questions
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