Remote Big Data Engineer Jobs in Canada
Search 15 work from home big data engineer positions available in Canada. Your career in truly remote companies - apply today.
Yesterday
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.
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 21
Senior Data Infrastructure Engineer designing and operating distributed data architectures. Collaborating with military staff and teams to enhance decision-making processes with cloud technologies.
🌏 Anywhere in the World
💵 $180k - $240k / year
💰 $21M Venture Round on 2022-10
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
November 11
Job not on LinkedIn
Data Engineer I supporting ETL pipelines for AI-powered enablement. Collaborating in a fast-paced environment and enhancing data infrastructure with Snowflake and Python.
November 5
Job not on LinkedIn
Mid-level Data Engineer at Spotify developing data-driven solutions for financial processes. Collaborating with cross-functional teams to provide accurate and timely data insights.
November 1
Job not on LinkedIn
Senior Data Engineer driving business intelligence and operational solutions at ScalePad. Collaborating with teams to create innovative data-driven solutions within a dynamic work environment.
🇨🇦 Canada – Remote
💵 $120k - $130k / year
💰 Private Equity Round on 2021-07
⏰ Full Time
🟠 Senior
🚰 Data Engineer
October 30
Data Engineer responsible for managing data ingestion, organization, and quality at Butter Payments. Collaborating with cross-functional teams to ensure effective data flow and architecture.
October 28
Job not on LinkedIn
Data Engineer at Practice Better managing data infrastructure and analytics. Building scalable systems to support data-driven decision making for wellness practitioners.
October 28
Senior Data Engineer modernizing data infrastructure at WellnessLiving, transitioning from monolithic to microservices architecture while driving innovation in analytics and operational intelligence.
October 22
Job not on LinkedIn
Senior Data Engineer designing and implementing data infrastructure for Alludo, focusing on data lakes and warehouses while mentoring junior engineers.
October 17
Data Infrastructure Engineer at Meshy designing and building distributed data systems for AI model training. Collaborating closely with ML researchers to ensure data quality and scalability.
October 9
Data Engineer at Samsara developing and maintaining end-to-end data pipelines for analytics and supporting decision-making. Join a team dedicated to improving physical operations with IoT data.
🇨🇦 Canada – Remote
💵 $131.8k - $196.1k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟠 Senior
🚰 Data Engineer
September 24
Data Engineer owning OpenData data processing workflows, building Spark-based pipelines and ensuring data quality for Veeva Systems.
August 9
Job not on LinkedIn
Data Engineer at Versa Networks designs, builds, and maintains data pipelines; remote Canada role leveraging Airflow, Spark, Python, and cloud tech to enable AI/ML workflows.
March 25
Job not on LinkedIn
Join a consulting firm as a data engineer, building data tools for various clients.
Remote big data engineer salary expectations in Canada
The average salary for remote big data engineers in Canada is CA$175,000 per year. This is based on data from 1 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 |
|---|---|---|
🟡 Mid-level Big Data Engineer (2-4 yrs) | 1 | CA$175,000 |
Frequently asked questions
You need strong programming skills in languages like Python, Java, or Scala, proficiency in big data technologies such as Hadoop, Spark, and Kafka, and a solid understanding of data modeling, ETL processes, and distributed systems. Analytical skills and problem-solving abilities are also crucial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant certifications in big data technologies or cloud platforms can enhance your profile. Practical experience and a strong portfolio of projects are often more valuable than formal education.
Responsibilities include designing and managing big data pipelines, optimizing data storage and retrieval processes, ensuring data quality and integrity, collaborating with data scientists and analysts, and generating actionable insights from large datasets.
Benefits include flexible working conditions, the ability to work from various locations, strong demand for skills leading to job security, and competitive salaries. Remote work also allows for greater flexibility in balancing personal and professional life.
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