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Data Engineer Remote Work From Home Jobs in Toronto, ON

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 ...

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Remote Insurance Advisor | Work From Home

Mississauga, ON · Remote

CA$90K - CA$250K/yr

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Remote Insurance Advisor | Work From Home Build Your Future | Help Others | Get Rewarded for Your Effort Currently Hiring In: Canada: Ontario (ON), British Columbia (BC), Alberta (AB), Saskatchewan ...

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Data Engineer Remote Work From Home information

Can I work remotely as a data engineer?

Yes, data engineering is a role that can often be performed remotely, especially when tasks involve data pipeline development, database management, and cloud-based tools. Many companies offer remote data engineering positions that require skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require on-site presence for collaboration or hardware access.

What is the difference between Data Engineer Remote Work From Home vs Data Analyst Remote Work From Home?

AspectData Engineer Remote Work From HomeData Analyst Remote Work From Home
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote, independent analysis, reporting tools
Industry UsageTech, finance, healthcareMarketing, retail, finance
Common Search IntentData engineering jobs, remote data engineering rolesData analysis jobs, remote data analyst roles

Data Engineer remote work from home roles focus on building and maintaining data pipelines, requiring technical skills and engineering certifications. Data Analysts, while also working remotely, primarily analyze data and generate reports. Both roles are in high demand across industries and often share similar remote work environments, but their core responsibilities and skill sets differ.

What is a data engineer remote work from home?

Data Engineer Remote Work From Home jobs involve designing, building, and maintaining data systems and pipelines for organizations, all while working remotely. These professionals manage, optimize, and organize data so it can be used effectively by analysts and other stakeholders. Remote data engineers use tools such as SQL, Python, and cloud services to ensure data is reliable and accessible, collaborating with teams virtually. This role offers flexibility in location and often requires strong communication and self-management skills.

How do data engineers working remotely typically collaborate with other team members?

Remote Data Engineers frequently collaborate with data scientists, analysts, and software engineers using digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, code reviews, and shared documentation help ensure that everyone stays aligned on project goals and timelines. Asynchronous communication is often used to accommodate different time zones, making clear documentation and proactive updates essential. Building strong relationships remotely may require extra effort, but it is key to maintaining productivity and fostering teamwork.

What are the key skills and qualifications needed to thrive as a data engineer in a remote work-from-home setting?

To thrive as a Data Engineer in a remote work-from-home role, you need expertise in data modeling, ETL processes, programming languages like Python or SQL, and typically a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Hadoop, cloud data platforms (AWS, Azure, Google Cloud), and relevant certifications like AWS Certified Data Analytics are often required. Strong problem-solving skills, self-motivation, and effective communication are crucial for managing projects and collaborating virtually. These skills and qualities ensure the efficient design, implementation, and maintenance of data infrastructure, enabling reliable data-driven decision-making even in a remote environment.

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

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

What job categories do people searching Data Engineer Remote Work From Home jobs in Toronto, ON look for?

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

Data Engineer Remote Work From Home jobs near you

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

CA$125K - CA$140K/yr

Full-time

Re-posted 26 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