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Remote Startup Data Engineer Jobs in Toronto, ON

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ... Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing ...

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 ...

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 ...

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 ...

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

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 ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/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 $260,000 USD ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Tiny Health

Full Stack Engineer

Toronto, ON · Remote

PostgreSQL, MySQL, RDS) and data modeling. * Ability to assess and optimize database performance ... Comfortable working independently in a fast-paced, remote startup environment. Preferred * Frontend ...

Tiny Health

AI Engineer

Toronto, ON · Remote

Design data pipelines and inference infrastructure that scale as our usage grows. Qualifications ... Comfortable driving work forward in a fast-paced, remote startup environment. Preferred

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 ...

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All JobsStartup Data Engineer JobsRemote Startup Data Engineer JobsRemote Startup Data Engineer Jobs in Toronto, ON

Remote Startup Data Engineer information

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

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

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

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

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

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

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

Remote Startup Data Engineer jobs near you
Infographic showing various Remote Startup Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 13 days ago

Job description

Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability

What You Bring

  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field

⭐ Preferred Experience - we will highly consider candidates with below skills;

  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments

Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com