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

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... Build and optimize data pipelines using Python, SQL and modern cloud technologies * Develop and ...

Azure DevOps * Grafana and GCP Logging You don't need experience with every tool listed above ... SQL is the exception : it's a non-negotiable (see Key Requirements). Why This Role * Greenfield ...

Strong programming skills in languages such as Python, SQL, and Java. Data Modeling and ETL Processes: Experience in data modeling, ETL (Extract, Transform, Load) development, and understanding of ...

BI Data Engineer

Markham, ON

CA$100K - CA$115K/yr

Write and optimize complex SQL for extraction, transformation, aggregation and performance tuning. * Design semantic layers and curated datasets aligned to reporting needs. * Monitor and troubleshoot ...

BI Data Engineer

Markham, ON

CA$100K - CA$115K/yr

Write and optimize complex SQL for extraction, transformation, aggregation and performance tuning. * Design semantic layers and curated datasets aligned to reporting needs. * Monitor and troubleshoot ...

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 ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ... Strong hands-on SQL and ideally dbt experience - you are comfortable building and refactoring ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ... Strong hands-on SQL and ideally dbt experience - you are comfortable building and refactoring ...

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring ... SQL schema and query development * Familiarity with CI/CD and Test Driven Development in a ...

Proven experience as a Data Engineer delivering end-to-end data solutions * Proficiency in one or more languages such as Python, SQL, Java, Scala, Spark, or PySpark * Experience with modern data ...

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 ...

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 ...

Role Summary The Senior Data Engineer will join the Software Engineering team that leads the ... Strong hands-on experience with Python, PySpark, and SQL. * Deep expertise and Subject Matter ...

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one ... Strong programming and scripting skills (SQL, Python, Java, Scala) * Strong knowledge of cloud ...

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one ... Strong programming and scripting skills (SQL, Python, Java, Scala) * Strong knowledge of cloud ...

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 ...

Showing results 41-60

Sql Developer Data Engineer information

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

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.

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

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

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

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

What cities near Toronto, ON are hiring for Sql Developer Data Engineer jobs?

Cities near Toronto, ON with the most Sql Developer Data Engineer job openings:

Infographic showing various Sql Developer Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

CorGTA

Toronto, ON • Hybrid

CA$100/hr

Contractor

Re-posted 6 days ago


Job description

Role: Senior Data Engineer
Structure:
Hybrid (2 days onsite / 3 days remote) - Toronto
Duration:6-Month Contract
Pay Rate:up to $100 INC p/h--

We have a great new opportunity to support one of our Loyalty Sector clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Responsibilities
  • Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion
  • Develop high-quality, reusable and maintainable data solutions following engineering best practices
  • Build API-driven integrations between enterprise data platforms and Salesforce Data Cloud (CDP/Data 360) and Salesforce Loyalty Management
  • Develop automation solutions that reduce manual operational effort through CI/CD and GitHub workflows
  • Build and optimize data pipelines using Python, SQL and modern cloud technologies
  • Develop and maintain AWS Lambda functions and other serverless components
  • Work closely with business stakeholders to understand requirements and translate them into scalable technical solutions
  • Collaborate with Data Engineers, Analytics teams, Product Owners and Business Analysts throughout design, development, testing and deployment
  • Participate in QA activities and ensure data quality across all pipelines
  • Contribute to engineering standards, documentation and continuous improvement initiatives
  • Support cloud-native, event-driven architectures where appropriate
Required Experience
  • 10+ years of experience across Data Engineering, Software Engineering, Cloud Engineering or related disciplines
  • 5+ years working as a Senior Data Engineer or equivalent senior individual contributor
  • Expert SQL skills with extensive experience in Snowflake
  • Strong experience with Snowflake Notebooks
  • Advanced Python programming skills
  • Strong AWS experience including:
    • Lambda
    • S3
    • IAM
    • Cloud-native services
  • Experience building enterprise-scale Data Warehouses and Data Lakes
  • Strong experience building and consuming REST APIs
  • Experience integrating enterprise data into Salesforce platforms or similar SaaS applications
  • Strong understanding of CI/CD pipelines using GitHub
  • Experience with software engineering best practices, version control and deployment automation
  • Excellent communication skills with the ability to interact directly with business stakeholders
--

CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/