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Data Modeler Jobs in Ontario (NOW HIRING)

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and ...

Citylitics

Jr Data Engineer

Toronto, ON · On-site

Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals ... The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights ...

Citylitics

Jr Data Engineer

Toronto, ON · Hybrid

Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals ... The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights ...

Common CENTS Solutions

BI Data Engineer

Markham, ON

CA$100K - CA$115K/yr

Data Analysis & Modeling * Write and optimize complex SQL for extraction, transformation, aggregation and performance tuning. * Design semantic layers and curated datasets aligned to reporting needs.

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

The role includes working with vast datasets, designing scalable data models, managing data warehouses and lakes, and ensuring seamless data integration and accessibility for analytics and business ...

Td

Data Designer I

Toronto, ON

CA$69K - CA$82K/yr

Develop and maintain data models, schemas, and data dictionaries to support business requirements. * Technical Solutions: Translate business needs into technical data solutions, leveraging the ...

Photon

Sr Data Engineer - Mississauga

Mississauga, ON · On-site

Review logical and conceptual data models in alignment with business requirements. * Work with the stakeholders to understand and gather requirements and produce business specifications * Validate ...

hireVouch

Data Scientist/Data Engineer

Toronto, ON

Model reusable datasets : Develop scalable data models that support cross-domain analytics, multi-source comparisons, and machine learning (ML) consumption. 2. Advanced Analytics & Predictive ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting. You are curious ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting. You are curious ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · Hybrid

Design and implement robust data models and transformations in Snowflake that serve as the foundation for reporting * Build and optimize ETL/ELT processes to extract, transform, and load data from ...

Financeit

Data Engineer

Toronto, ON

Build and maintain dbt models across staging, mart, and metrics layers in the data warehouse, supporting analytics, reporting, and BI tools used across the business * Work closely with cross ...

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Showing results 21-40

All JobsData Modeler JobsData Modeler Jobs in Ontario

Data Modeler information

See Ontario salary details

$26

$58

$82

How much do data modeler jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data modeler in Ontario is $58.29, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $67.07 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are the key skills and qualifications needed to thrive as a data modeler?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

More about Data Modeler jobs

What are the most commonly searched types of Data Modeler jobs in Ontario?

The most popular types of Data Modeler jobs in Ontario are:

What are popular job titles related to Data Modeler jobs in Ontario?

For Data Modeler jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Modeler jobs in Ontario look for?

The top searched job categories for Data Modeler jobs in Ontario are:

What are popular job titles related to Data Modeler jobs in ON?

For Data Modeler jobs in ON, the most frequently searched job titles are:

Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Ontario as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,253 per year, or $58.3 per hour.

Data Analytics Solutions Specialist

Bayshore HealthCare

Toronto, ON

Full-time

Posted 16 days ago

Job description

JOB SUMMARY 
We are seeking a detail-oriented and technically strong data professional to design, build, and 
support modern analytics and reporting solutions. This role works across SQL Server, Python, 
Power BI, Azure Data Factory, and Microsoft Fabric to transform raw data into clear, reliable, and 
actionable insights for the business. The ideal candidate combines strong technical execution with 
the ability to partner closely with business stakeholders, ensuring data is accurate, automated, 
well-documented, and easy to understand 


DUTIES AND RESPONSIBILITIES 
Develop, maintain, and optimize data solutions using SQL Server, Azure Data Factory, and 
Microsoft Fabric to support enterprise analytics and reporting needs  
Design and manage end-to-end data pipelines, from data ingestion through transformation 
and consumption  
Build and maintain analytical and semantic data models that support scalable reporting and 
self-service analytics  
Create and manage Power BI datasets, reports, and dashboards, applying best practices 
in modeling, DAX, and visualization  
Ensure optimal performance across data models, queries, and refresh processes  
Use Python to automate data workflows, handle files, and perform data transformation and 
validation tasks  
Implement and manage data security and access controls, including Power BI Row-Level 
Security (RLS)  
Partner with business stakeholders to translate reporting and analytics requirements into 
scalable, maintainable solutions  
Proactively identify, troubleshoot, and resolve data quality, pipeline, and reporting issues  
Produce and maintain clear documentation for data models, business logic, validation 
rules, and operational processes

QUALIFICATIONS 
Degree in Information Technology, Computer Science, Data, or a related field  
Relevant hands-on experience delivering data, reporting, or analytics solutions 
Strong proficiency in SQL Server for querying, analysis, and supporting reporting solutions  
Hands-on experience with Power BI, including data modeling, DAX, report development, 
refresh processes, and security fundamentals  
Ability to write Python scripts for automation, data transformation, and operational support  
Proficiency using PySpark within Spark environments (e.g., Fabric notebooks) to develop, 
optimize, and operationalize scalable ETL/ELT transformations for medallion-style 
pipelines. 
Experience working with Microsoft Fabric for data integration, modeling, and reporting  
Solid understanding of basic programming concepts and how they support data analysis 
and automation  
Strong attention to detail, with a focus on data accuracy, consistency, and reliability  
Ability to clearly explain technical concepts and results to non-technical audiences 

OTHER SKILLS AND ABILITIES 
Experience building and managing semantic models in Power BI or Microsoft Fabric  
Understanding of data warehousing concepts and analytical data design  
Experience working with large or complex datasets  
Familiarity with automated refreshes, scheduling, and operational monitoring of reports

At Bayshore Healthcare, our commitment to Equity, Diversity & Inclusion is our strength. This is how we bring our vision of being the difference in the lives of those we care for, work with and in our communities. We have a great sense of pride in creating a culture of belonging, where individual differences are embraced and celebrated, through programs, resources and policies that support each individuals purpose, potential and wellbeing.

At Bayshore Healthcare Ltd., and its subsidiaries, we are committed to fostering an inclusive workplace and operate in full compliance with all Provincial and Territorial legislation pertaining to Human Rights Codes and Accessibility requirements. To ensure continued compliance throughout the recruitment and selection process, we encourage candidates to disclose any accommodation needs they may have.

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