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

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

Develop and maintain SQL Server databases, including schema design, indexing strategies, query ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

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

Morson Talent

25-199 - Data Engineer

Oshawa, ON · 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 ...

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

ODAIA is a remote first organization, all our positions are WFH with frequent company and team ... SQL schema and query development * Familiarity with CI/CD and Test Driven Development in a ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

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 ...

McKesson

Lead, Data Engineer

Mississauga, ON · 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 ...

McKesson

Lead, Data Engineer

Mississauga, ON · 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 ...

I-cube Software Llc

Data Engineer

Toronto, ON · 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 ...

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

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.

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

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 ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site +1

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 ...

MCKESSON

Lead, Data Engineer

Mississauga, ON · Remote

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Advanced proficiency in SQL, Python, and scripting . * Strong hands‑on experience with:

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... 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 ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · 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 ...

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Remote Sql Data Engineer information

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 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.

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 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:

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

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

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

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

Remote Sql Data Engineer jobs near you
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.

Data Engineer

Toronto, ON • Remote

Total Performance Consulting
11 - 50 employees
Learn more about Total Performance Consultingexternal

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities

• Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.

• Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.

• Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.

• Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.

• Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team

• You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

• MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.

• MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.

• Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.

• Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

• Python, working proficiency for scripting, automation, and data pipeline support is a plus.

Tools

• Experience maintaining projects using a distributed version control system such as Git and GitHub.

• Experience in automated pipeline deployment and schemas into production environments.

• You should be experienced with agile methods and the concepts behind continuous delivery.

• We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.

• We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.

Education

• BS in Computer Science and a minimum of five years of experience delivering production solutions

Focus

• Minimum 5+ years working in Data Science.

• We expect you to have a passion and experience in shipping and maintaining production software products.

• You must have strong verbal and written skills.

• We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.

Environment

• US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.

• We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.

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