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

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

Mercor

Data Engineer - AI Model Evaluation

Toronto, ON · Remote

CA$80/hr

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

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

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

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Advanced SQL and data modeling expertise, including schema design, warehouse optimization, semantic ...

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 ...

Tucows

Data Platform Engineer

Toronto, ON · Remote

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... SQL competency: Working knowledge of SQL. Advanced SQL is a plus, but not a prerequisite.

Tucows Inc.

Data Platform Engineer

Toronto, ON · Remote

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... SQL competency: Working knowledge of SQL. Advanced SQL is a plus, but not a prerequisite.

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Experience with SQL, NoSQL, and distributed data processing frameworks. * Proficiency in Python ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

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All JobsSql Data Engineer JobsRemote Sql Data Engineer JobsRemote Sql Data Engineer Jobs in Toronto, ON

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.

Senior / Lead Data Engineer

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 6 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job title: Senior/Lead Data Engineer

Current Need:

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well asmaintainingdata definitions, business rules, and lineage.Additionalduties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conductingdifferent typesof testing(functional, regression, exploratory), and preparing and executing test cases and plans.

Key Responsibilities

  • Support a cross-functional team andprovidein-depth data insights for complex business problems that can be approached with advanced analytics

  • Work closely with the other Data Engineers and Scientists to deliver results

  • Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights

  • Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria

  • Leverage tools and resources to plan,evaluateand execute strategic initiatives

  • Strong delegation and management skills to ensure work is conducted ina timely, quality fashion by internal and external partners and multi-shore teams/resources.

  • Continuously improve andoptimizebusiness processes and operations.Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.

  • Data Engineering and Analytics support

  • Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.

  • Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies,toolsand processes.

  • Implements data governance practices in partnership with business stakeholders and peers, data governance officeteamsand solution teams to advocate for data literacy and data democratization across enterprise.

  • Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode

  • Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.

  • Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure (IaC- Infrastructure as Code)

  • Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...

  • Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build approaches andexecute onanalytical use cases. Specific experience withSnowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk,Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial.

  • Communicateresults and educate others through reports and presentations.

Minimum Job Qualifications(Knowledge, Skills, & Abilities):

Education/Training -

  • Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield.

  • 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.

  • Proficiencyin SQL, Python, R, or similar analytical tools.

  • Experience with data visualization platforms such as Power BI, Tableau, or Looker.

  • Strong understanding of statistical analysis, predictive modeling, and data mining techniques.

  • Experience with analytical tools such as Databricks & Snowflake

  • Excellent communication and stakeholder management skills.

  • Ability to manage multiple projects and priorities in a fast-paced environment.

Specialized Knowledge/Skills -

  • Leadership Skills:Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This positionoperatesunder consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.

  • Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-termobjectives.

  • Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Working Conditions:Environment (Office, warehouse, etc.) -

  • Traditional officeenvironment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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