Jobs in Canada

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Added 21 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
7+ years of backend development experience in Java or Python
Added 21 days ago
H
Senior Quality Engineer (Automation Testing)
Hays
Toronto, ON
- Contract
Work Arrangement : Full-Time Onsite (3-4 Days/Week)
Added 21 days ago
K
Senior Business Analyst - AI & Advanced Analytics
Kelly
Toronto, ON
- Contract
📍 Location: Hybrid (2 days onsite), Toronto, ON
Added 21 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
Work Model: Onsite – 4 Days per Week
Added 21 days ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
- Full-time
This role is based fully onsite at our Mississauga, Ontario office location.
Added 21 days ago
AS
Python Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Minimum 5 years of experience as a Python Backend Developer.
Added 21 days ago
AS
Senior Java Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Work Mode: Hybrid (day 1 onboarding onsite / in-office presence required 3x/week)
Added 21 days ago
T®
Validation Engineer II
TekWissen ®
Markham, ON
- $45 to $47 CAD / hour
- Contract
Strong programming/scripting skills (eg. Python, C/C++, Ruby)
Added 21 days ago
Y
Data Engineer
Yochana
Calgary, AB
- Full-time
Develop and maintain data integration solutions using SQL, Python, and relevant data engineering technologies.
Added 21 days ago
IS
Sr. Devops Cloud Engineer (Terraform Development)
Iris Software Inc.
Toronto, ON
- Contract
Location: Toronto, ON (Hybrid, 4 days onsite in a week)
Added 21 days ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 21 days ago
Senior Software Engineer - Product Security
Faire
Toronto, ON · Waterloo, ON
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 21 days ago
VI
Python Developer
VEGA Intellisoft Pvt Ltd
Mississauga, ON
- Full-time
· Design, develop, and maintain software solutions using Python.
Added 21 days ago
P
Full Stack Developer
PiiComm
ON · Plantagenet, ON
- Full-time
PiiComm is seeking a Full Stack Developer to join our growing R&D team. You will own deliverables from concept through deployment, building production-ready applications in Azure with…
Added 21 days ago
Senior Data Solutions Specialist
National Research Council Canada
Ottawa, ON
…for a limited hybrid work arrangement (combination of working onsite and…
Added 22 days ago
SM
Python Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
This is an on-site assignment, requiring candidates to be present in the office five days per week
Added 22 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 22 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 22 days ago
SM
Python Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
This is an on-site assignment, requiring candidates to be present in the office five days per week
Added 22 days ago
SM
RQ11529 – Automation Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite – 5 days per week
Added 22 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week

Yochana

Data Engineer

Calgary, AB, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Position Name – Data Engineer

Type of hiring – Fulltime/Subcon

Location – Calgary, AB (Onsite Hybrid)

Job Description:

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support data-driven decision-making.

The ideal candidate will have strong experience in data integration, data modeling, ETL/ELT processes, cloud data platforms, and data quality management, with the ability to collaborate with cross-functional teams to deliver reliable and high-performing data solutions.

Key Responsibilities

Collect, integrate, clean, and pre-process structured and unstructured data from multiple sources.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build and optimize data models, data warehouses, and data lakes to support analytics and reporting requirements.
Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and data quality issues.
Develop and maintain data integration solutions using SQL, Python, and relevant data engineering technologies.
Implement data validation, monitoring, and quality checks to ensure data accuracy, consistency, integrity, and reliability.
Optimize data pipelines and database queries for performance, scalability, and cost efficiency.
Collaborate with data scientists, analysts, business stakeholders, product teams, and software engineers to translate business requirements into effective data solutions.
Support the development and deployment of machine learning and predictive analytics solutions by preparing reliable, high-quality datasets.
Build and maintain dashboards, reports, and data visualizations to communicate business insights where required.
Implement data governance, security, access controls, and compliance standards in accordance with organizational policies.
Monitor pipeline performance, troubleshoot data processing issues, and implement continuous improvements.
Work with cloud-based data platforms and modern data engineering tools to support enterprise data initiatives.
Explore and adopt emerging technologies in data engineering, analytics, artificial intelligence, machine learning, and Generative AI.

Required Qualifications

Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
Proven experience in data engineering, data integration, or a similar technical role.
Strong proficiency in SQL and Python for data processing, transformation, and automation.
Hands-on experience building and maintaining ETL/ELT pipelines and data integration workflows.
Experience with relational databases, data warehousing, and data modeling concepts.
Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Experience with data processing frameworks and technologies such as Apache Spark, Databricks, or similar platforms.
Strong understanding of data quality, data governance, metadata management, and data security principles.
Experience with version control, automated testing, and CI/CD practices for data pipelines.
Excellent analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

Experience with cloud-based data lakehouse architectures and modern analytics platforms.
Familiarity with orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.
Experience with streaming data platforms such as Apache Kafka or equivalent technologies.
Knowledge of business intelligence tools such as Power BI or Tableau.
Exposure to statistical analysis, hypothesis testing, A/B testing, and predictive modeling.
Familiarity with machine learning workflows and Generative AI applications.
Experience working in the energy, utilities, oil and gas, or other large enterprise environments is an asset.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines, integration workflows, data models, warehouses, and lakes, ensuring data quality, security, performance, and reliability. Collaborate with technical and business teams to support analytics, reporting, machine learning, and predictive solutions, while monitoring and improving data systems.

Requirements

A bachelor's degree in a relevant field and proven experience in data engineering or a similar technical role are required. Candidates should be proficient in SQL and Python, experienced with ETL/ELT, databases, cloud platforms, and data processing frameworks, and knowledgeable about data quality, governance, security, version control, testing, and CI/CD.

Skills

SQL
Python
ETL/ELT
Data Integration
Data Modeling
Data Warehousing
Data Lakes
Microsoft Azure
AWS
Google Cloud Platform
Apache Spark
Databricks
Data Quality Management
Data Governance
CI/CD
Apache Airflow

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
ETL/ELT
Data Pipelines
Data Integration
Data Modeling
Data Warehousing
Data Lakes
Cloud Data Platforms
Microsoft Azure
AWS
Google Cloud Platform
Apache Spark
Databricks
Data Quality
Data Governance
Metadata Management
Data Security
Version Control
Automated Testing
CI/CD
Apache Airflow
Azure Data Factory
Apache Kafka
Power BI
Tableau
Machine Learning
Generative AI
Oil and Gas

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Jobs in Canada