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Added 1 hour ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON · Canada Pharma Campus
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 1 hour ago
Sr Associate Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use…
Added 1 hour ago
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Full-time
Are you an experienced engineer seeking a fresh adventure? Look no further than the rugged and untamed beauty of the Yukon, where opportunities abound for qualified professionals like you.…
Added 1 hour ago
Lead Harness Engineer
Government of Alberta
AB
…evolved, and governed, balancing innovation with reliability, security, and public sector…
Added 1 hour ago
Staff Software Engineer, Data
Solink
Remote, Canada
$138,445 to $173,056 CAD / year
Full-time · Remote
…the tools to know sooner and act faster by transforming video security into real-time operational…
Added 2 hours ago
Chief Steam Engineer
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Crossfield, AB
Full-time
The primary duties of the Chief Steam Engineer is responsible for the safe, reliable, and efficient operation of the plant's steam, utility, and pressure equipment systems. Acting as the…
Added 2 hours ago
Senior Cybersecurity Recovery Architect
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Full-time
…rapid restoration of critical systems and data following a security…
Added 2 hours ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 2 hours ago
Senior Cybersecurity Recovery Architect
Nutrien
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…rapid restoration of critical systems and data following a security…
Added 3 hours ago
Security Platform Engineer - EDR, Proxy
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Toronto, ON · Sun Life Toronto One York
Full-time
The successful candidate should have 3-4 years experience in information technology with a minimum of 3 years experience in the information security field. The candidate will join a growing…
Added 3 hours ago
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 3 hours ago
Senior Electrical Engineer
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Toronto, ON
Full-time
We are seeking a Senior Electrical Engineer to join our Toronto office, supporting primarily federal government projects across a range of complex building and infrastructure sectors,…
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Senior Software Engineer (Sanctions Service & AI Inference)
Mastercard
Vancouver, BC
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Senior Software Engineer (Sanctions Service & AI Inference)Who is Mastercard?
Added 3 hours ago
Lead Data Engineer (AI & Data Strategy)
Mastercard
Vancouver, BC
Full-time
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for,…
Added 3 hours ago
Cloud Platform Engineer
Apex Systems
Toronto, ON
$54 to $60 USD / hour
Contract
Apex Systems is a global IT services provider, and our staffing practice has an opening for a Cloud Platform Engineer with extensive programming abilities with Python, Typescript or NodeJS,…
Added 3 hours ago
Staff Security Engineer - Bot & Traffic Defence
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Toronto, ON · Kitchener, ON
As a Staff Security Engineer, Bot & Traffic Defence, you will be the first dedicated owner of this domain. You will set the technical direction, build the controls and signals that back it,…
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Principal Engineer (Director) Cloud
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Winnipeg, MB · London, ON · Toronto, ON
Canada Life is seeking a Principal Engineer (Director level) to drive our adoption of Cloud. This role will be pivotal in building and operationalizing modern cloud platforms and…
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Toronto, ON
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Identity & Access Management Engineer
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We are seeking an experienced Identity & Access Management Engineer to lead the migration of approximately 100 applications from legacy SiteMinder and Nexus platforms to Okta Workforce…
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Toronto, ON
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CompTIA Security+ or GISF (GIAC Information Security Fundamentals)
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Senior Security Engineer - Cloud Security
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Added 4 hours ago
Technical Leader
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Own reliability, security, performance, and the quality of the customer experience.
Added 4 hours ago
Senior Mine Engineer
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Princeton, BC
Reporting to the Superintendent of Mine Engineering, the Senior Engineer supports the safe and efficient operation of Copper Mountain Mine through technical analysis, planning, and…
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Reporting to the senior mine engineers, the Mine Engineer supports the safe and efficient operation of Copper Mountain Mine through technical analysis, planning, and engineering support.…

Tundra Technical Solutions

Senior Data Engineer

Toronto, ON, Canada

Pay: $70 to $77 CAD / hour
Job type: Contract
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Applications open in a new tab.

Original job description

Description

This is a temporary contractor position for an existing vacancy.

About the Role

We are seeking a highly skilled Senior Data Engineer to join our growing Data & AI Marketplace team. In this role, you will be responsible for designing, building, and optimizing scalable enterprise data solutions that power advanced analytics, AI, and business intelligence initiatives across the company.

As part of our strategic transformation, you will play a key role in building and advancing our Snowflake-based Enterprise Data Platform, enabling self-service analytics, AI solutions, and governed data products that create measurable business value.

This is an exciting opportunity for an experienced data professional who enjoys solving complex data challenges, modernizing data architectures, and working closely with business stakeholders, architects, data scientists, and AI engineers.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Snowflake and cloud-native technologies.
Build and optimize ELT/ETL processes for structured, semi-structured, and unstructured data sources.
Develop enterprise-grade data models, data products, and reusable datasets.
Implement data integration solutions across enterprise systems, APIs, cloud platforms, and operational applications.
Collaborate with Data Scientists and AI Engineers to support machine learning and generative AI initiatives.
Develop and maintain data ingestion frameworks, orchestration workflows, and metadata management processes.
Optimize Snowflake performance through clustering, partitioning, query tuning, and cost management strategies.
Ensure data quality, security, lineage, and governance requirements are embedded into all solutions.
Support CI/CD implementation and automation of data engineering workflows.
Participate in architecture reviews and contribute to enterprise data standards and best practices.
Mentor junior data engineers and contribute to the growth of the Data & AI engineering community.

Required Qualifications

Bachelor’s degree in computer science, Engineering, Information Systems, or a related discipline.
8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
3+ years of hands-on experience with Snowflake in enterprise environments.
Strong experience building modern cloud-based data platforms.
Advanced SQL development and performance tuning expertise.
Proficiency in Python for data engineering and automation.
Experience designing and implementing large-scale data pipelines.
Strong understanding of dimensional modeling, data warehousing concepts, and data lake architectures.
Experience with source control, DevOps, and CI/CD practices.
Excellent communication and stakeholder management skills.

Preferred Qualifications

Snowflake SnowPro Certification (Core or Advanced).
Hands-on experience with:
Snowpark
Cortex AI
Dynamic Tables
Streams & Tasks
Data Sharing
Iceberg Tables
Zero-Copy Cloning
Experience integrating Snowflake with:
Azure
Databricks
Microsoft Fabric
Power BI
Informatica
Kafka
Experience supporting AI, machine learning, or generative AI workloads.
Knowledge of utility, energy, or regulated industry environments.
Familiarity with data governance, privacy, and security frameworks.

Technical Skills:

Data Platforms

Snowflake (Expert)
Azure Data Services
Data Lake Architecture
Enterprise Data Warehousing

Programming

Python
SQL
Shell Scripting

Data Integration & Orchestration

Airflow
Azure Data Factory
Informatica
REST APIs

DevOps & Engineering

Git
CI/CD Pipelines
Terraform (preferred)
Infrastructure as Code

Analytics & AI Enablement

Power BI
Machine Learning Pipelines
Generative AI Data Preparation
Data Marketplace Concepts

What Success Looks Like

In your first year, you will:

Deliver high-quality data products on the Enterprise Data Platform.
Enable AI and analytics use cases through trusted, governed data assets.
Optimize Snowflake performance, reliability, and cost efficiency.
Establish reusable engineering patterns that accelerate data and AI delivery.
Contribute to building a scalable Data & AI Marketplace that empowers business teams through self-service access to trusted data.

This role operates under a hybrid work model and requires employees to work from the office a minimum of two days per week.

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More about this job

Responsibilities

Design, build, and optimize scalable Snowflake-based data platforms, pipelines, data products, and integrations, ensuring performance, quality, security, lineage, and governance. Collaborate with business stakeholders and AI and analytics teams, support automated engineering workflows, contribute to architecture standards, and mentor junior engineers.

Requirements

Requires a bachelor’s degree in computer science, engineering, information systems, or a related discipline, at least eight years of data engineering or related experience, and at least three years of hands-on enterprise Snowflake experience. Candidates should have advanced SQL and Python skills, experience with cloud data platforms, large-scale pipelines, data warehousing and lake architectures, and source control and CI/CD practices.

Skills

Snowflake
SQL
Python
Data Engineering
Data Warehousing
Data Modeling
ETL/ELT
Data Pipelines
Azure Data Services
Airflow
Azure Data Factory
Informatica
Git
CI/CD
Data Governance
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Snowpark
Cortex AI
Dynamic Tables
Streams & Tasks
Data Sharing
Iceberg Tables
Zero-Copy Cloning
Azure Databricks
Microsoft Fabric
Power BI
Informatica
Kafka
Airflow
Azure Data Factory
Python
SQL
Shell Scripting
REST APIs
Git
CI/CD
Terraform
Infrastructure as Code
Data Engineering
Data Warehousing
Data Lake Architecture
ETL/ELT
Data Governance
Machine Learning
Generative AI

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