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Remote Sql Data Engineer Jobs in Toronto, ON (NOW HIRING)

Role: Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus ... Build and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasets

This can be a remote role, however for those who would like to come into the office our offices are ... SQL * Design, develop, build, and maintain cloud-based applications and services on Azure ...

25-199 - Data Engineer

Oshawa, ON ยท Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse ...

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong ...

Data Engineer

Toronto, ON ยท Remote

CA$35 - CA$55/hr

Demonstrated work experience in the following with Big Data and distributed programming models and technologies Knowledge of database structures, theories, principles, and practices (both SQL and ...

Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ... Strong working knowledge of Python and SQL for building pipelines and platform tooling.

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

The engineer will follow end-to-end process standards and guidelines to ensure accurate and ... Develop optimized SQL transformations for large datasets. * Implement data quality checks and ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Fluent in creating data processing frameworks using Python, PySpark, SparkSOL and SQL Experience ...

... SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development * 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP) * Experience with ...

SQL is the exception: it's a non-negotiable (see Key Requirements). Why This RoleGreenfield ... Health & Dental coverage as of Day 1Flexible Paid Time Off (FTO)Remote work environment with ...

Data Engineer

Toronto, ON ยท Remote

CA$140K - CA$190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Strong SQL skills and experience with data modeling, transformation frameworks, and performance ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

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Remote Sql Data Engineer information

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

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

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are the most commonly searched types of Sql Data Engineer jobs in Toronto, ON? The most popular types of Sql Data Engineer jobs in Toronto, ON are:
Infographic showing various Remote Sql Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON โ€ข Remote

CA$125K - CA$140K/yr

Full-time

Re-posted 16 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