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Data Integration Jobs in Ontario (NOW HIRING)

TheAppLabb

Data Engineer

Toronto, ON · On-site

Optimize data warehouses, databases, and cloud storage solutions. · Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources. · ...

The App Labb

Data Engineer

Toronto, ON

Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources. Performance & Scalability: Monitor, troubleshoot, and improve data systems ...

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manage and advance the data fabric to organize, integrate, and deliver enterprise data assets. * Design, create, and maintain relational databases and data systems, ensuring scalability and ...

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manage and advance the data fabric to organize, integrate, and deliver enterprise data assets. * Design, create, and maintain relational databases and data systems, ensuring scalability and ...

McKesson

Sr Data Specialist

Mississauga, ON · On-site +1

Design and implement scalable data pipelines and ETL/ELT programs to integrate complex data sources across internal and external systems, supporting both batch and real-time processing. * Write and ...

Cogeco

Specialist, Data Engineering

Burlington, ON · On-site

Key Responsibilities 1. Data Integration & Architecture Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files...etc.) into a cloud ...

McKesson

Sr Data Specialist

Mississauga, ON · On-site +1

Design and implement scalable data pipelines and ETL/ELT programs to integrate complex data sources across internal and external systems, supporting both batch and real-time processing. * Write and ...

L3HHCM20

Data Intelligence Specialist

Dundas, ON · Remote

CA$75K - CA$105K/yr

Analyze and integrate data from multiple business applications, databases, APIs, cloud platforms, and external systems. * Create reusable semantic layers, curated datasets, and business-ready data ...

Amphenol HSIO

Data Platform Analyst (Azure)

Markham, ON · On-site

Integration experience with ERP data systems, flat files, APIs or hybrid cloud integrations. * Strong SQL skills for data transformation, optimization, and modeling. * Work experience with Power BI ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Build curated common data models designed by the Data Modelers that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in ...

GFL Environmental

Data Engineer

Vaughan, ON · On-site

... integrated solutions, all from a single efficient company. We believe that, by providing safe ... The Role The Data Engineer will be responsible for developing, maintaining, testing, and optimizing ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Implement data ingestion and curation data pipelines that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in ...

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest opportunity is to create opportunity and meet people ...

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All JobsData Integration JobsData Integration Jobs in Ontario

Data Integration information

See Ontario salary details

$24.5K

$102.7K

$173K

How much do data integration jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data integration in Ontario is $102,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $129,500.00 per year, depending on experience, location, and employer.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management tools, ETL (Extract, Transform, Load) processes, and programming languages like SQL, Python, or Java is essential. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can also enhance job prospects.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

What are popular job titles related to Data Integration jobs in Ontario? For Data Integration jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Integration jobs in Ontario look for? The top searched job categories for Data Integration jobs in Ontario are:
Data Integration jobs near you
Infographic showing various Data Integration job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,739 per year, or $49.4 per hour.

Data Engineer

TheAppLabb

Toronto, ON • On-site

Other

Re-posted 8 days ago

Job description

About TheAILabb:

TheAppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to create transformative experiences for businesses worldwide. If you’re passionate about building robust data infrastructure to power cutting-edge applications, this is the role for you!
Role Overview:
As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will collaborate with data scientists, engineers, and business stakeholders to enable data-driven decision-making.
Key Responsibilities:

·      Build & Maintain Data Pipelines: Design and develop scalable ETL/ELT workflows for structured and unstructured data.

·      Data Architecture & Storage: Optimize data warehouses, databases, and cloud storage solutions.

·      Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources.

·      Performance & Scalability: Monitor, troubleshoot, and improve data systems for speed and reliability.

·      Collaboration & Strategy: Work closely with AI/ML teams to support data modeling and analytics initiatives.

·      Data Governance & Security: Ensure data quality, security, and compliance with industry best practices.


Required Skills & Qualifications:

·      Technical Proficiency:

·      Strong experience with Python, SQL, and Scala for data processing.

·      Hands-on experience with ETL frameworks, data pipelines, and workflow orchestration tools (e.g., Apache Airflow, DBT).

·      Expertise in Big Data Technologies (e.g., Spark, Hadoop).

·      Knowledge of Cloud Platforms (AWS, GCP, or Azure) and services like S3, Redshift, BigQuery,or Snowflake.

·      Experience with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).

·      Familiarity with streaming technologies (Kafka, Kinesis, or Pub/Sub) is a plus.

·      Soft Skills:

·      Strong problem-solving and analytical thinking.

·      Ability to work in a fast-paced, agile environment.

·      Excellent communication and collaboration skills.

Nice-to-Have:

                  •               Exposure to AI/ML workflows and data science frameworks.

                  •               Experience with CI/CD for data engineering.

                  •               Knowledge of data privacy regulations (GDPR, CCPA).

Why Join Us?

• Work on large-scale cloud-based data platforms with cutting-edge technologies.
• Collaborate with a dynamic, innovative, and data-driven team.
• Competitive salary
• Opportunities for career growth and continuous learning.

Why you’ll love TheAILabb?

We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAILabb, our culture is geared towards creativity, collaboration, and flexibility.

· Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)

· We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

· TheAILabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAILabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.