Jobs in Canada

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Added 14 days ago
B
Software Engineer II
Beanfield
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We are seeking a senior Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 14 days ago
PC
AML Analytics Manager
PwC Canada
Toronto, ON
- Full-time
Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.
Added 14 days ago
IS
Senior QA
InfiCare Staffing
Toronto, ON
- Contract
Must have :- English and French language skills must
Added 14 days ago
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Software Consultant
FireFlink
Toronto, ON
- Full-time
Hands-on experience with Java, Spring Boot, Python, J2EE, object-oriented design, design patterns, Maven, Git, CI/CD pipelines, and Agile delivery practices.
Added 14 days ago
MT
Data Engineer
MSR Technology Group
Toronto, ON
- Contract
Expertise in PySpark, Python, SQL, Delta Lake, and ETL/ELT pipeline development.
Added 14 days ago
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Senior Software Developer
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
Set the standard for data engineering: Design and optimize complex SQL, Python, and TypeScript data models and pipelines, while establishing strong practices around pipeline health and…
Added 14 days ago
AC
Data Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
The engineer will own implementation quality and operational reliability for assigned data platform components, pipelines, and integrations. Strong SQL and Python programming, automated…
Added 14 days ago
A
IT Technical Developer (IBM Maximo)
Airswift
Calgary, AB
- Contract
This role follows a primarily onsite work model, with flexibility for one remote workday per week
Added 14 days ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 14 days ago
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Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 14 days ago
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Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Expérience des outils Big Data, des bases de données et des architectures évolutives (SQL, Spark, Hadoop, etc.).
Added 14 days ago
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AI Developer
Apptad
Montreal, QC
- Contract
Required Qualifications (Must Have)
Added 14 days ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 14 days ago
FS
AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 14 days ago
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Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
Work with modern cloud and data technologies, including Snowflake, dbt, Python, SQL Server, Power BI, cloud data services, and ETL/ELT platforms.
Added 14 days ago
B
Database Administrator II
Beanfield
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
Performance Tuning: Monitor database performance, identify and resolve bottlenecks, and optimize SQL queries to ensure maximum efficiency.
Added 14 days ago
RJ
Senior Manager, Marketing Intelligence and Effectiveness
Raymond James Ltd.
Toronto, ON
- Full-time
Proficiency in data analysis tools such as SQL, Python, R, or similar.
Added 14 days ago
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Associate Data Engineer
Punt
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.
Added 14 days ago
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Data Integrity Lead
BGIS
Toronto, ON
- Full-time
Use technical tools and scripting (e.g., SQL, Python, PowerShell, or similar) to interrogate datasets, automate recurring quality checks, and flag anomalies.
Added 14 days ago
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Site Reliability Engineer Lead
TD
Toronto, ON
- Full-time
Experience with SQL Server platforms, high-availability technologies, and disaster recovery.
Added 14 days ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 14 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Manage SQL Server Agent jobs, transaction logs and tempdb, and automate routine work with PowerShell or Python
Added 14 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Manage SQL Server Agent jobs, transaction logs and tempdb, and automate routine work with PowerShell or Python
Added 14 days ago
SI
Database Administrator
STACK IT Recruitment
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
Manage SQL Server Agent jobs, transaction logs and tempdb, and automate routine work with PowerShell or Python
Added 14 days ago
Data Analyst Intern (Winter/January 2027, 12 Months)
Internship List
Burnaby, BC · Oakville, ON · Toronto, ON
Use AI coding assistants (such as Claude Code or Codex) every day to write and review SQL and Python, build reports, automate data quality checks and pipeline monitoring, and draft…

Internship List

Data Analyst Intern (Winter/January 2027, 12 Months)

Burnaby, BC, Canada
Oakville, ON, Canada
Toronto, ON, Canada

$33 - $39 CAD

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: $33 - $39 CAD
Posting language: English
Posted: Oct 29, 2026

Original job description

Who we are:

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Governance & Operations Data Analyst Intern to help keep the company's most important data accurate, trusted and easy to use. You will work with large datasets to find patterns, check quality and answer business questions. If you love technology, and are keen to join an industry leader, we would love to hear from you!

What you'll do:

The Global Data Operations & Governance (GDOG) team owns the certified metrics, scheduled data pipelines and data standards that teams across Geotab rely on. As an intern you will help build, check and maintain those data assets using SQL and statistical tools. On a typical day you will work closely with your manager and a team member who guides your focus area, alongside the other interns on the team and partner teams across the business. The successful candidate is an analytical problem solver who enjoys diving into data, is excited about investigations, can multi-task, and can credibly interface between technical teams and others.

The opportunity:

12-month work-term beginning January 2027.
Full-time, paid internship: Monday - Friday, 37.5hrs/week.
Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
Learn more about the Geotab Campus Program here.
This posting is for an existing vacancy.

How you'll make an impact:

Work with the GDOG team and partner teams (such as Revenue Operations, Finance and Marketing) to deliver accurate, consistent data.
Use AI coding assistants (such as Claude Code or Codex) every day to write and review SQL and Python, build reports, automate data quality checks and pipeline monitoring, and draft documentation, then check and own what they produce.
Check data quality at every stage: sourcing, collection, normalization and transformation. Reconcile numbers between systems and explain any gaps.
Help monitor scheduled data pipelines, investigate failures and document the cause and fix.
Help apply data standards: table and column descriptions, labels, and documentation so data is easy to find and trust.
Build and maintain reports and dashboards in Superset and Google Sheets so teams can answer their own questions.
Take on focused analysis projects assigned by your manager, and present findings to the team.
Provide leaders with clear, reliable insight to support data-driven decisions.

What you'll bring to the role:

Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
Technical experience using SQL, Python or Google BigQuery is required.
Demonstrated hands-on experience using AI coding assistants such as Claude Code or Codex to build real work (for example analyses, scripts, automations or dashboards). Be ready to show examples and explain how you directed the tool and verified its output.
Good judgment with AI-generated work: you test results, catch errors and never ship output you cannot explain.
Experience applying Large Language Models (e.g., Gemini, Claude) to analyze unstructured data and to speed up documentation and analysis.
Experience, or a strong track record of experimenting, with AI agents and agentic workflows to automate tasks like data quality checks, monitoring and reporting.
Knowledge of data warehousing, data modeling, statistical analysis, reporting, and data analysis.
Attention to detail and comfort checking your own work and other people's numbers.
Some knowledge of data visualization tools (e.g. Superset, Tableau).
Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
Experience developing machine learning models is an asset.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

How we work:

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.

This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.

Hourly Rate

$33 - $39 CAD

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The intern will maintain and build data assets, pipelines, and standards while ensuring data quality and consistency across the organization. They will also use AI tools to automate tasks, monitor data health, and provide actionable insights through reports and dashboards.

Requirements

Candidates must be currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field. Proficiency in SQL, Python, or Google BigQuery is required, along with experience or interest in data analytics and AI-assisted workflows.

Skills

SQL
Python
Data Governance
Data Operations
Data Analysis
Data Modeling
Statistical Analysis
Data Visualization
Google BigQuery
Superset
Tableau
AI coding assistants
Machine Learning
Data Quality
Data Pipelines
Communication

Benefits

Great Place to Work certified
Inclusive work culture
Opportunities to innovate
Paid internship

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
IoT
Connected Transportation
Data Governance
Data Operations
SQL
Python
Google BigQuery
Superset
Tableau
Machine Learning
AI coding assistants
Claude Code
Codex
Data Pipelines
Data Modeling
Statistical Analysis
Data Quality
Revenue Operations
Finance
Marketing
Google Suite
Data-driven decisions
Automation
Large Language Models
Gemini
Claude
Agentic workflows
Data warehousing
Fleet management

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Work requirements

Jobs in Canada