As of November 6, 2026, Jobsy lists 105 data engineer jobs in Toronto, ON. The median advertised pay is $128,003 a year (from 17 postings). The most active employers are Capgemini, Randstad Canada and RBC. Skills often requested: data engineering, sql, python and aws.
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Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
5+ YOE3+ MgmtCandidates need 5+ years of data engineering experience and 3+ years of technical leadership, with strong SQL, Python and Azure skills and experience with Databricks. Azure Data Factory, Power BI or Microsoft Fabric experience is an asset.
SQL, Python, Microsoft Azure, Databricks, Azure Data Factory, Power BI
7+ YOECandidates need 7+ years of data engineering experience, solid Databricks and Spark development skills, and experience with Hadoop, streaming tools and cloud platforms. A university degree in a relevant STEM field and strong communication skills are also needed.
1+ YOECandidates need a bachelor's degree in business or a similar field and about one year of compliance or similar work. Strong attention to detail, communication skills and the ability to work under pressure are also required.
Candidates need strong backend programming fundamentals (Go, Java, C#, Rust, C++, Kotlin or server-side TypeScript), comfort with SQL and query performance, some Linux and container experience, and thoughtful use of AI coding tools. Based in Toronto or willing to relocate.
5+ YOECandidates need an undergraduate degree in computer science or equivalent experience, at least five years in database engineering and two years building data pipelines. Hands-on ETL skill with Informatica and Azure, plus expert Excel knowledge, is required.
Informatica, Azure Data Factory, Databricks, Microsoft Azure, MS Excel, FIS
BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.
5+ YOECandidates need at least 5 years of data engineering experience, including 3 years with Databricks, Spark and cloud data platforms. Strong Python or Scala skills, Azure expertise and CI/CD experience are also required.
Databricks, Delta Lake, Apache Spark, Azure Data Lake, Azure Synapse, Azure DevOps
6+ YOECandidates need 6+ years of data or backend engineering experience, including high-volume streaming systems. They must be strong in Python or Elixir, advanced SQL, columnar databases and Kafka, Flink, Pulsar or Kinesis, with AWS experience.
5+ YOECandidates need 5+ years of data engineering experience, with strong Apache Spark and PySpark skills and solid Python development practices. Experience with Kafka, cloud platforms (preferably Google Cloud), and modern deployment tools is expected.
Apache Spark, PySpark, Google Cloud Platform, Kafka, Delta Lake, Parquet
5+ YOECandidates need 5+ years of data management and expert programming experience, plus Python, Spark, Glue, Lambda, or HQL skills. A bachelor's degree in a quantitative field or equivalent experience is also required, along with Reliability Status clearance.
5+ YOECandidates need 5+ years of data management and expert programming experience, plus Python, Spark, Glue, Lambda, or HQL skills. A bachelor's degree in a quantitative field or equivalent experience is also required, along with Reliability Status clearance.
3+ YOECandidates need 3+ years of data engineering experience, strong hands-on skills in Python, PySpark, SQL and Snowflake, and experience with REST APIs and JSON. Knowledge of data modeling and warehousing is required, and cloud experience (AWS, Azure or GCP) is preferred.
Candidates need hands-on experience with Azure Data Factory and Azure Databricks, strong advanced SQL and Azure SQL tuning skills, and solid migration experience. Working knowledge of Delta Lake, ADLS Gen2, Azure security, and monitoring tools is also needed.
Azure Data Factory, Azure Databricks, Azure SQL, Azure Data Lake Storage Gen2, Delta Lake, Azure App Service
8+ YOECandidates need 8+ years of data engineering experience and 2+ years of hands-on Microsoft Fabric work on enterprise solutions. They need deep skills in OneLake, Lakehouse, Data Warehouse, Azure Data Factory, Spark, PySpark, SQL, dbt, Azure DevOps and Git.
Microsoft Fabric, Azure Data Factory, Power BI, Azure DevOps, Git, dbt
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need to be enrolled at a post-secondary institution and graduating between August 2027 and June 2028. They need programming, database and data-cleaning skills, plus machine learning, NLP or API experience, and strong communication and teamwork.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.
3+ YOECandidates need 3+ years of data engineering experience, strong Python and advanced SQL skills, and proven experience migrating data to AWS. They also need solid stakeholder communication and experience in a large enterprise environment.
Candidates need strong ETL development experience with SQL and Python and hands-on Azure Databricks experience. Guidewire experience is mandatory, along with Guidewire certification or active pursuit of it.
6+ YOECandidates need several years of data engineering experience, expert-level SQL, and strong skills in dbt, Python and Snowflake. Experience with CI/CD, job schedulers, ETL development and working with distributed or offshore teams is also needed.
7+ YOECandidates need a bachelor's degree in a technical field, 7+ years in data engineering including 4+ years hands-on with Azure Databricks, and strong PySpark, Spark SQL, Python, SQL and Delta Lake skills. Experience with Azure Data Lake Storage, Azure Data Factory, Git or Azure DevOps and enterprise cloud data platforms is also required.
Azure Databricks, Delta Lake, Azure Data Factory, Azure Data Lake Storage, Azure DevOps, Microsoft Fabric
Candidates need to be currently enrolled in a post-secondary program graduating between August 2027 and June 2028. They need programming, database and data cleaning experience, plus machine learning, NLP or API experience and strong communication skills.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Candidates need to be enrolled in a post-secondary program graduating between August 2027 and June 2028. They need programming, database and data cleaning skills, plus machine learning, API or data visualization experience.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Aviso Wealth: As a trusted partner, Aviso Wealth provides credit unions with access to a comprehensive range of high-quality, innovative investing and wealth…
3+ YOECandidates need a degree or technical diploma in computer science or engineering, 3+ years of data engineering or software development, and hands-on Azure experience. Strong communication in English is required, and French and AWS or Databricks certification are assets.
Aviso Wealth: As a trusted partner, Aviso Wealth provides credit unions with access to a comprehensive range of high-quality, innovative investing and wealth…
3+ YOECandidates need a computer science or engineering degree, a technical diploma, or equivalent software development experience, plus at least 3 years in data engineering or software development. Strong Azure cloud experience, DevSecOps practices and fluent English are required; French and AWS or Databricks certification are assets.
Capco: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services…
5+ YOECandidates need 5 to 6 years of data engineering or ETL experience, with hands-on Informatica IDMC skills and strong SQL. Experience with DevOps, cloud platforms, Python and financial services is an asset.
Informatica IDMC, SQL, Python, AWS, Azure, Google Cloud
Candidates need strong relational database and data modeling skills, practical SQL and PL/SQL experience, and working knowledge of Oracle 19c/23ai. Experience with Unix/Linux, data pipeline tools and Liquibase deployments is also expected.
How much does a data engineer make in Toronto, ON?
The median advertised pay is $128,003 a year, across 17 postings that list pay. The lowest quarter pays under $107,994 and the top quarter over $147,493.