Jobs in Canada

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Added 15 days ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
There is an exciting opportunity for an Intermediate Software Engineer to join Onni Capital in Vancouver.
Added 15 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 16 days ago
L
Regular Technical Support Engineer
Luxoft
Toronto, ON
- Contract
Added 16 days ago
L
Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake, and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 16 days ago
Senior QA Engineer
Konrad
Toronto, ON
As a Senior QA Engineer, you will play a hands-on role in engineering quality into complex digital products across web, mobile, API, and backend systems. You will combine strong software…
Added 17 days ago
Mechatronics Engineer – Robotics & Grasping
Apera AI Inc
Vancouver, BC
We're looking for an Intermediate Mechatronics Engineer to join our Robotics & Grasping team, the team that turns Apera's vision into products that pick and place on the factory floor and…
Added 17 days ago
FM
Research and Development Engineer (Intermediate)
FluidAI Medical
Kitchener, ON
- $75,000 to $90,000 CAD / year
Experience with Python as a tool for data analysis.
Added 17 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Candidates must have relevant experience in the following areas:
Added 17 days ago
RI
Senior Full Stack Engineer
Remarcable, Inc.
Remote, Canada
- $140,000 to $190,000 CAD / year
- Full-time
- Remote
…product and development hub - and looking for a Senior Full Stack Engineer to take technical ownership of high-impact product…
Added 18 days ago
IC
Senior Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
You must possess the below minimum qualifications to be initially considered for this position
Added 18 days ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define…
Added 18 days ago
AW
Data Analyst III
Agilus Work Solutions
Calgary, AB
- Contract
…modern analytics platforms (e.g., Databricks), advanced coding (Python, SQL,…
Added 18 days ago
LI
Cyber Security Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
Experience Level: Level 2 (intermediate): 2-5 years
Added 19 days ago
A
Software Development Engineer In Test
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Contract
This position is fully on-site in either Ottawa or Waterloo, operating five days per week during normal business hours
Added 19 days ago
T
Intermediate Software Engineer
TekRek
Toronto, ON
- Full-time
The stack is Python, FastAPI, React, TypeScript, and PostgreSQL, deployed on Azure, with AI coding agents built into everyday development.
Added 20 days ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.
Added 20 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 22 days ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- $172,960 to $197,400 CAD / year
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 22 days ago
L
BACKEND Software Engineer (AI)
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 22 days ago
L
Full-Stack Software Engineer (AI)
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 22 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and…
Added 24 days ago
P
Intermediate Software Engineer
PointClickCare
Mississauga, ON
- $102,600 to $128,300 CAD / year
- Full-time
· Knowledge of scripting languages such as Python, Bash or Groovy
Added 25 days ago
B
Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Experience using Python for custom evaluations and SQL or LogQL/PromQL for querying telemetry, logs, and metrics data.
Added 25 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…
Added 25 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…

Swoon

Intermediate Data Engineer

Toronto, ON, Canada

$80 to $90 CAD / hour · Contract

Apply on LinkedIn About employer

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Job details

Pay: $80 to $90 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Experience: Approximately 4+ years of experience in data engineering, data integration, or a related technical role.
Posting language: English
Posted: Oct 26, 2026

Original job description

Location: Toronto, ON

Work model: 4 days onsite

Type: Contract

Duration: 12 months

Rate: 80-90/HR INC

About the Opportunity

We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.

In this role, you will build, maintain, and enhance data pipelines that support analytics, machine learning, and AI applications. You will work with data scientists, technology teams, and business stakeholders to connect data sources, improve data quality, and enable reliable delivery of data to analytical models and downstream systems.

The ideal candidate is a hands-on engineer who can work through complex technical challenges, understand business requirements, and translate them into practical, scalable solutions.

Key Responsibilities

Design, develop, and maintain data pipelines that support analytics, machine learning, and AI applications.
Build and optimize data integrations, transformations, and preprocessing workflows across multiple source systems.
Develop and maintain solutions using Python, SQL, and cloud-based data engineering tools.
Support the deployment, integration, monitoring, and ongoing improvement of machine learning models and associated pipelines.
Contribute to the migration and modernization of data processes and platforms into cloud-based environments.
Prepare and structure data for predictive models, advanced analytics, and AI applications, including large language model use cases.
Troubleshoot pipeline issues, improve data reliability, and identify opportunities to enhance performance and efficiency.
Collaborate with data scientists, developers, and business stakeholders to understand requirements and deliver effective technical solutions.
Translate business needs into clear technical requirements and actionable development plans.
Document processes, technical solutions, and data workflows to support maintainability and knowledge sharing.

Required Qualifications

Approximately 4+ years of experience in data engineering, data integration, or a related technical role.
Strong programming experience with Python.
Hands-on experience with SQL and data transformation.
Experience with cloud-based data platforms and services; AWS is preferred.
Familiarity with PySpark or other distributed data processing technologies.
Experience building and maintaining data pipelines for analytics, machine learning, or AI applications.
Understanding of machine learning operations, including model deployment, integration, monitoring, or production support.
Experience working with multiple data sources and transforming complex datasets into usable formats.
Strong analytical and problem-solving skills, with the ability to break complex requirements into manageable steps.
Excellent communication skills and the ability to collaborate across technical and business teams.

Nice to Have

Experience with SAS or supporting the migration of legacy data processes to Python.
Exposure to machine learning platforms, AI integrations, or large language model workflows.
Experience in financial services or another complex, regulated environment.
Familiarity with data governance, data quality, and production data management practices.

What Makes You a Great Fit

You are a practical, solutions-oriented engineer who enjoys building reliable data solutions and improving existing processes. You can understand a system’s current state, identify the desired outcome, and develop a logical plan to get there.

You are comfortable working with technical and non-technical stakeholders, asking the right questions, and explaining complex concepts clearly. You bring technical depth, business awareness, and a willingness to learn and contribute within a collaborative team.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, maintain, and optimize data pipelines and integrations for analytics, machine learning, and AI applications, including cloud migration and data preparation for predictive models and large language model use cases. Support machine learning model deployment and monitoring, troubleshoot pipeline issues, document solutions, and collaborate with technical teams and business stakeholders to translate requirements into scalable solutions.

Requirements

Requires approximately 4 or more years of relevant experience, strong Python and SQL skills, and hands-on experience with cloud data platforms, data transformations, and analytics or machine learning pipelines. Candidates should understand machine learning operations and distributed processing, with AWS preferred; SAS, legacy process migration, regulated-industry experience, and data governance are advantageous.

Skills

Python
SQL
Data Engineering
Data Pipelines
Data Integration
Data Transformation
AWS
Cloud Data Platforms
PySpark
Distributed Data Processing
Machine Learning Operations
Model Deployment
Data Quality
Data Governance
Large Language Models
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
AWS
PySpark
Data Engineering
Data Pipelines
Data Integration
Data Transformation
Cloud Computing
Machine Learning Operations
Machine Learning
Artificial Intelligence
Large Language Models
Predictive Modeling
Advanced Analytics
Distributed Data Processing
Model Deployment
Model Monitoring
Data Quality
Data Governance
Data Migration
Legacy Systems
SAS
Production Data Management
Financial Services
Stakeholder Collaboration

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Jobs in Canada