2

Remote Data Visualization Engineer Jobs in Toronto, ON

Data Engineer

Toronto, ON · Remote

CA$140K - CA$240K/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 $240,000 USD ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

Req ID: 369008 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

Req ID: 369008 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ...

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

Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments ...

Implement best practices in LLM-based engineering, including RAG frameworks, evaluation approaches ... Experience analyzing large sets of data for patterns and correlations using visualization tools

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$300K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $300,000 USD ...

Showing results 21-40

Remote Data Visualization Engineer information

What is the difference between Remote Data Visualization Engineer vs Data Analyst?

AspectRemote Data Visualization EngineerData Analyst
Required SkillsData visualization tools, programming (Python, SQL), data storytellingData manipulation, statistical analysis, reporting
Work EnvironmentCollaborates with data teams, software developers, and designers remotelyWorks with business teams, often in office or remote settings
Industry UsageTech, finance, marketing, and product companiesBusiness, healthcare, finance, and research sectors

The Remote Data Visualization Engineer focuses on creating visual representations of data using specialized tools and programming, often working closely with development teams. Data Analysts primarily interpret data, perform statistical analysis, and generate reports. While both roles require data skills, visualization engineers emphasize technical visualization expertise, whereas analysts focus on data interpretation and insights.

What are popular job titles related to Remote Data Visualization Engineer jobs in Toronto, ON? For Remote Data Visualization Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Data Visualization Engineer jobs in Toronto, ON are:
Data Engineer - Fully Remote | Upto $80/hr

Data Engineer - Fully Remote | Upto $80/hr

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

Posted 5 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.