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Entry Level Data Engineer Remote Jobs in Toronto, ON

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive, Oshawa (Hybrid - 3 days remote) Job Overview As an Azure and Databricks Data Engineer, you will ...

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

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 ...

MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible ...

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ...

Applied AI Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context ... Fully remote * RRSP contribution at 3% * Competitive health benefits T he expected salary for ...

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

Design, build, and maintain scalable data pipelines and services that process high- volume EDI ... We are also open to remote candidates located anywhere within Canada. What We Offer: At SPS ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data engineering, data governance, and data quality across research and production pipelines ...

... sales engineering, this is an exciting opportunity to build your future with a global IT leader ... Exposure to vendor technologies or entry-level data center technical certifications (e.g., server ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data engineering, data governance, and data quality across research and production pipelines ...

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Entry Level Data Engineer Remote information

What is an entry level data engineer remote?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

What are some common challenges faced by entry level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

What are the key skills and qualifications needed to thrive as an entry level data engineer remote?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.
What are popular job titles related to Entry Level Data Engineer Remote jobs in Toronto, ON? For Entry Level Data Engineer Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineer Remote jobs in Toronto, ON look for? The top searched job categories for Entry Level Data Engineer Remote jobs in Toronto, ON are:

Data Engineer - Fully Remote | Upto $80/hr

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

Re-posted 18 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.