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Remote Big Data Jobs in Toronto, ON (NOW HIRING)

I-cube Software Llc

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Design, build, and maintain Big Data workflows/pipelines to process a continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.

Spscommerce

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

Experience with at least one big data processing platform (Databricks, Snowflake, Apache Spark ... We are also open to remote candidates located anywhere within Canada. What We Offer: At SPS ...

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

US/LatAm-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. * We foster a service-oriented, highly collaborative environment where ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

StarTech.com

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring ... ODAIA is a remote first organization, all our positions are WFH with frequent company and team ...

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

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Remote Big Data information

See Toronto, ON salary details

$25.3K

$128K

$193.3K

How much do remote big data jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote big data in Toronto, ON is $127,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,408.00 and $156,034.00 per year, depending on experience, location, and employer.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What are popular job titles related to Remote Big Data jobs in Toronto, ON?

For Remote Big Data jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Big Data jobs in Toronto, ON look for?

The top searched job categories for Remote Big Data jobs in Toronto, ON are:

Remote Big Data jobs near you
Infographic showing various Remote Big Data job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $127,970 per year, or $61.5 per hour.

Data Engineer

Toronto, ON • Remote

I-cube Software Llc
See more jobs at I-cube Software Llcexternal

CA$35 - CA$55/hr

Part-time

Re-posted 18 days ago

Job description

Hybrid Hadoop Engineer and Hadoop Infrastructure Administrator to build and maintain a scalable and resilient Big Data framework to support Data Scientists. As an administrator, your responsibility will be to deploy and maintain Hadoop clusters, add and remove nodes using cluster management and monitoring tools like Cloudera Manager, and support performance and scalability requirements, in support of our Data scientist's needs. Some Relational Database administrator experience will also be desirable to support the general administration of Relational Databases.

Design, build, and maintain Big Data workflows/pipelines to process a continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.


Demonstrated work experience in the following with Big Data and distributed programming models and technologies
Knowledge of database structures, theories, principles, and practices (both SQL and NoSQL).
Active development of ETL processes using Spark or other highly parallel technologies, and implementing ETL/data pipelines
Experience with Data technologies and Big Data tools, like Spark, Kafka, Hive
Understanding of Map Reduce and other Data Query and Processing and aggregation models
Understanding of challenges of transforming data across distributed clustered environment
Experience with techniques for consuming, holding, and aging out continuous data streams
Ability to provide quick ingestion tools and corresponding access APIs for continuously changing data schema, working closely with Data Engineers around specific transformation and access needs

Preferred:

Experience as a Database administrator (DBA) will be responsible for keeping critical tools database up and running
Building and managing high-availability environments for databases and HDFS systems
Familiarity with transaction recovery techniques and DB Backup

Skills and Attributes:

Ability to have effective working relationships with all functional units of the organization
Excellent written, verbal, and presentation skills
Excellent interpersonal skills
Ability to work as part of a cross-cultural team
Self-starter and Self-motivated
Ability to work without lots of supervision
Works under pressure and is able to manage competing priorities.

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