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

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

US-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 ...

CanadaHelps

Data Scientist

Toronto, ON · Remote

CA$70K - CA$80K/yr

This position is remote but may require to be in-office in Toronto for team collaborations. Responsibilities: Responsibilities will include but are not limited: * Charity Data Expertise:Become a ...

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 ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · Remote

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You'll Do: * Majority of the role will be data engineering: tables, views, jobs/pipelines, and ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You'll Do: * Majority of the role will be data engineering: tables, views, jobs/pipelines, and ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview As a Senior Data Developer, you will be responsible for building ...

WSP

Intermediate Technician, Field Services

Mississauga, ON · Remote

CA$66K - CA$88K/yr

... data analysis and reporting. The role includes travel to remote sites, extended assignments, and ... mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed ...

WSP

Intermediate Technician, Field Services

Mississauga, ON · Remote

CA$66K - CA$88K/yr

... data analysis and reporting. The role includes travel to remote sites, extended assignments, and ... mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed ...

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.

Capco

Data Engineer

Toronto, ON · On-site +1

The Data Engineer will have strong Python, Pandas, and NumPy expertise to support data validation, reconciliation, and processing of large datasets. This role focuses on comparing multiple datasets ...

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Remote Data Mining information

See Toronto, ON salary details

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How much do remote data mining jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data mining in Toronto, ON is $37.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.65 and $49.32 per hour, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Toronto, ON?

The most popular types of Data Mining jobs in Toronto, ON are:

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

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

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

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

What cities near Toronto, ON are hiring for Remote Data Mining jobs?

Cities near Toronto, ON with the most Remote Data Mining job openings:

Remote Data Mining jobs near you
Infographic showing various Remote Data Mining 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 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $77,669 per year, or $37.3 per hour.

Data Engineer

Total Performance Consulting

Toronto, ON • Remote

Part-time

Posted 17 days ago

Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-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 teamwork, care, and helping others succeed are highly valued.

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