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Data Extraction Jobs in Ontario (NOW HIRING)

Invictus Direct

You will design workflows to extract and standardize data from various platforms, optimize database structures, and develop API integrations. Collaborate with other tech professionals in a remote ...

New

Reconomy

Extract and consolidate data from multiple systems using SQL and other data access tools. * Design and implement standardized data models across key business processes and financial metrics.

Ci

Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

Design, develop, and help maintain data assets to extract, transform, and load data from various internal and external data files, APIs, and databases, and to make them accessible to various client ...

Source Code

CA$88.63 - CA$106.36/hr

Data extraction: Identify/define data to be extracted and migrated to the data warehouse/lakehouse or document storage solution * Data Integration and ETL: help develop and automate ETL processes to ...

New

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Perform data modelling, data extraction, transformation, and loading (ETL/ELT). * Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications

Scotiabank

Data Engineer

Toronto, ON

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

Scotiabank

Data Engineer

Toronto, ON

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

Scotiabank

Data Scientist - AI/ML

Toronto, ON

Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification). * Write and maintain high-quality Python code to ...

Ci

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

Design, develop, and maintain data assets to enable seamless extraction, transformation, and loading (ETL/ELT) processes from diverse data sources, making data accessible to client-facing ...

The City of Guelph

Data Analyst (Transit)

Guelph, ON · Hybrid

CA$77K - CA$96K/yr

Extract, transform, analyze, and integrate data from multiple transit and enterprise systems, including scheduling, fare, operational, ERP, AVL, APC, and GIS platforms. * Deliver ad hoc analysis and ...

Ci

Data Operations Specialist

Toronto, ON

CA$69K - CA$119K/yr

Data extraction - SQL, Python, API invocation, CDC * Data storage repositories - SFTP, AWS S3 * ETL/ ELT tools and workflow - Snowpipe, PySpark, AWS Glue, EMR, AWS Lambda, SCD * A strong analytical ...

THOMSON REUTERS

Lead Data Engineer

Toronto, ON · Hybrid

Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization. * Possess a deep understanding and practical experience with data ...

Mattamy Homes

Financial Data & Systems Analyst

Toronto, ON · Hybrid

CA$57K - CA$87K/yr

Manage financial data flows across systems, including Data extraction, transformation, loading, integration monitoring and issue resolution * Contribute to maintaining documentation including data ...

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All JobsData Extraction JobsData Extraction Jobs in Ontario

Data Extraction information

See Ontario salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data extraction in Ontario is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are popular job titles related to Data Extraction jobs in Ontario? For Data Extraction jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Ontario look for? The top searched job categories for Data Extraction jobs in Ontario are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Ontario as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Data Engineer for Tech Solutions Firm

Invictus Direct

Remote

Part-time

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

Job description

Support a tech consulting agency as a remote Data Engineer in this part-time role. Drive data integration efforts essential for operational efficiency and AI solutions.
This role requires a Data Engineer with 3-5 years of experience in data engineering and ETL development. You will design workflows to extract and standardize data from various platforms, optimize database structures, and develop API integrations. Collaborate with other tech professionals in a remote environment to deliver effective data solutions.
Key Responsibilities:
• Create ETL workflows for data extraction and processing
• Build API integrations for centralized data management
• Develop SQL queries and optimize database structures
• Prepare data for effective analytics and dashboards
• Engage in client discussions for technical inputs
Requirements:
• 3-5 years of experience in data engineering
• Strong SQL skills and database design experience
• Experience building ETL pipelines
• Knowledge of PostgreSQL and automation tools is a plus
• Excellent communication skills for remote work
Leverage your data engineering expertise to foster innovation in operational processes and client solutions.
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