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Extract Transfer Load Data Jobs in Toronto, ON (NOW HIRING)

Senior Data Engineer

Toronto, ON · On-site

CA$80K - CA$130K/yr

As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next ... Build and implement ETL frameworks to improve code quality and reliability. * What do you need to ...

This role requires expertise in SQL Server and Python development, understanding of ETL and data warehousing, and the ability to drive end-to-end delivery working with senior resources and ...

Develop ETL and ELT processes to ingest, transform, validate, and distribute structured, semi-structured, and unstructured data. * Build and optimise data pipelines using Azure cloud services ...

Design, develop, test, and implement high-performance, scalable data pipelines, connectors and integrations to extract, transform, and load (ETL/ELT) data from SaaS platforms (Workday, Salesforce ...

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

From onboarding a brand-new source, to building and hardening the ETL that moves and shapes it, to publishing governed data products, we are the team that turns raw, scattered data into trusted ...

Technical Analyst Sr

Toronto, ON · Hybrid

CA$123K - CA$152K/yr

What You Will Do You will be responsible for all aspects related to development and support of ETL data integration solutions for Fidelity Canada. This includes analyzing data and developing ...

Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured, and unstructured data. * Strong ...

Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured, and unstructured data. * Strong ...

Create ETL solutions using DataStage * Expert in DataStage solution conception design and development. Cloud Data Solutions (Azure): * Build and maintain cloud-based data solutions using Azure ...

Architect and implement ETL solutions, including staging layers, transformations, and handling of complex data scenarios such as slowly changing dimensions and high-volume data processing. * Apply ...

The role will focus on developing ETL/ELT pipelines using Informatica and dbt, ensuring reliable and efficient data integration across multiple enterprise systems. The Data Engineer works with ...

Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . * Identify bugs, edge cases, scalability issues, and failure ...

Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . * Identify bugs, edge cases, scalability issues, and failure ...

Design, build, and maintain automated data pipelines for ETL, modelling, and quality control across demographic data products. * Help migrate and refactor legacy workflows into SQL (T-SQL) and Python ...

Showing results 21-40

Extract Transfer Load Data information

What is the difference between Extract Transfer Load Data vs Data Analyst?

AspectExtract Transfer Load DataData Analyst
Primary RoleExtracts, transforms, and loads data for systems or databasesAnalyzes data to generate insights and reports
Skills & CertificationsSQL, ETL tools, data management certificationsSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, IT departmentsBusiness intelligence, analytics teams, offices
Industry UsageData integration, database managementBusiness analysis, decision-making

While both roles involve working with data, Extract Transfer Load Data focuses on data extraction, transformation, and loading processes, often in IT or database environments. Data Analysts interpret data to provide insights and support business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

What are popular job titles related to Extract Transfer Load Data jobs in Toronto, ON?

For Extract Transfer Load Data jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Extract Transfer Load Data jobs in Toronto, ON are:

Infographic showing various Extract Transfer Load Data job openings in Toronto, ON as of June 2026, with employment types broken down into 13% Full Time, 67% Part Time, 3% Temporary, and 17% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution.

Senior Data Engineer

Royal Bank of Canada

Toronto, ON • On-site

CA$80K - CA$130K/yr

Full-time

Re-posted 16 hours ago


Job description

Job Description

What is the opportunity?

Join RBC Wealth Management Data & AI as we build a global data foundation and deliver innovative AI capabilities across our worldwide businesses. As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next-generation data solutions, and contributing to the creation of AI agents and the Model Context Protocol (MCP). This is an exciting opportunity to work on impactful projects that drive the future of data and AI at RBC Wealth Management.

What will you do?

  • You will be working closely with other data engineers and data scientists to support data ingestion and reporting analytics, establishing industry best practices, maintaining and managing technical documentations
  • Build data products using structured and unstructured data. Ensure data quality, performance, scalability
  • Support Gen AI platform engineering, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production
  • Contribute to production efforts via data pipelines, reusable frameworks, distributed computing
  • Contribute to documentation, governance, and performance improvements in data management practices
  • Build and implement ETL frameworks to improve code quality and reliability.

What do you need to succeed?

Must Have

  • Degree in Computer Science or Engineering related technical field
  • 2+ years of industry experience in Data Engineering. Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming
  • Programming experience in Python for scripting and data processing
  • Experience with REST API development, designing and developing robust scalable API, microservices, and data pipelines in production
  • Strong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.
  • Defining and building scalable ETL/ELT workflows for reporting and analytics.
  • Developing scripts and programs for converting various types of data into usable formats.
  • Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.
  • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.

Nice to Have

  • Basic understanding of AI/ML workflows (e.g., data preparation, model input/output)
  • Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop
  • Familiar with JIRA, Confluence, Agile/Scrum development methodology
  • Have past experience with at least one of the Object-Oriented development languages (C++, C# .NET, Java) is a plus
  • Ability to read and write in the French language is a plus

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

Compensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate's experience, skills, registration status, performance, individual goals, market conditions, and business needs.

Pay Range

The expected pay range for this position is:

$80,000- $130,000

The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay range for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable.

Job Skills

API Development, Big Data Management, Cloud Computing, Database Development, Data Engineering, Data ETL, Data Mining, Data Warehousing (DW), Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, REST API Development, RESTful APIs, Snowflake (Platform), Tableau (Software), Tableau Server

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-31

Application Deadline:

2026-08-15

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME