IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,717
Employers: 1,325

Advertised starting pay

Average starting payCAD / year: $99,406Across 257 listings
Average starting payCAD / hour: $48.77Across 85 listings
Average starting payUSD / year: $116,742Across 56 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%128 listings
Hybrid: 38%1,037 listings
On-site: 56%1,532 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (54), Royal Bank of Canada (48), TD (46).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 8 mins ago
Data Scientist
RBC
Toronto, ON
Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 8 mins ago
2027 CFO, Winter Data Engineer (8 months)
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Full-time
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Added 22 mins ago
Data Engineer
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Contract
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Full-time
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Full-time
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Senior Data Scientist - Fraud Detection
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Remote, Canada
Full-time · Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 23 mins ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 23 mins ago
Senior Data Scientist - Fraud Detection
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Full-time · Remote
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Added 38 mins ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
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Added 50 mins ago
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Toronto, ON
Full-time
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Toronto, ON
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Toronto, ON
$120,000 to $150,000 CAD / year
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Added 1 hour ago
Senior Data Scientist - Fraud Detection
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Calgary, AB
$120,000 to $150,000 CAD / year
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…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 hour ago
Senior Data Scientist - Fraud Detection
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$120,000 to $150,000 CAD / year
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…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
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Added 1 hour ago
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Xplore Inc.

Senior Data Engineer, Network Intelligence

Canada

Job type: Full-time
Experience: 7+ years of experience in data engineering with production-grade pipeline development.
Posting language: English
Posted: Sep 23, 2026

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Applications open in a new tab.

Original job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

Position Summary

As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities across Fiber, Fixed Wireless, and Satellite platforms in both cloud and on-prem environments.

You will design and operate the Bronze-to-Silver-to-Gold medallion pipelines for all network telemetry domains, ensuring that on-premise network modeling outputs are reliably structured, governed, and delivered as trusted enterprise Gold-tier assets. This role spans both cloud and on-premises platforms, including building, maintaining, and optimizing data pipelines and supporting infrastructure on-prem - not just migrating workloads to the cloud. Your work directly underpins predictive analytics, ML model training, and operational dashboards consumed by network engineering, operations, and executive audiences.

You will work in a cross-functional squad alongside the Network Intelligence & Automation Specialist, Data Scientists, and value-stream AI/Observability engineers, contributing to platform standards and mentoring intermediate engineers on the team.

Key Responsibilities Include

Design and build production-grade ELT pipelines in Databricks (PySpark, Delta Live Tables, Databricks Workflows) ingesting telemetry from RAN, transport, core, and cloud network platforms.
Own and maintain Bronze, Silver, and Gold tier datasets for all network domains, including schema governance, SLA adherence, and data quality standards in Unity Catalog.
Design, build, and maintain data pipelines and supporting components across both cloud and on-premises environments, including new on-prem solutions required for network telemetry and analytics workloads - not only cloud migration initiatives.
Deliver structured Bronze and Silver tier network modeling outputs into the Corporate Enterprise Gold tier, ensuring alignment with enterprise data architecture standards.
Apply partitioning, liquid clustering, and incremental load patterns to support large-scale time-series and event-driven network telemetry data.
Define and document canonical data models for network telemetry entities: cells, sites, circuits, alarms, and performance counters.
Instrument pipelines with data quality checks, alerting, and SLA monitoring to ensure operational reliability.
Partner with Data Scientists to produce feature-engineered Gold datasets suitable for ML model training and inference pipelines.
Collaborate with the GIS Data Engineer to integrate geospatial dimensions into network telemetry datasets.
Translate network engineering data requirements into structured pipeline specifications and delivery roadmaps.

The Ideal Candidate Will Possess

7+ years of experience in data engineering with production-grade pipeline development.
Expert-level Databricks experience: Spark optimization, Delta Lake, Unity Catalog, and Databricks Workflows or Delta Live Tables.
Strong Python and PySpark for production data engineering.
Solid understanding of medallion architecture (Bronze / Silver / Gold) and enterprise data governance principles.
Experience with streaming or near-real-time ingestion patterns: Kafka, Event Hubs, or Databricks Auto Loader.
Proficiency with Azure Data Lake Storage Gen2 and Azure-based data platform components.
Solid data modeling skills for time-series and high-frequency event datasets.
Strong communication skills and demonstrated mentorship experience

Preferred Qualifications

Familiarity with network telemetry data sources: SNMP, syslog, NetFlow, RAN KPIs, or equivalent.
Telecom, FWA, or infrastructure analytics domain experience.
Experience with On-Prem Kafka is a bonus.
Familiarity with Terraform or infrastructure-as-code for pipeline environment provisioning.
Databricks Certified Data Engineer (Associate or Professional).
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

Condition Of Employment

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

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More about this job

Responsibilities

Design, operate, and govern production-grade Bronze, Silver, and Gold data pipelines for network telemetry across cloud and on-premises environments. Deliver trusted datasets for analytics, dashboards, and machine learning, while defining network data models, monitoring pipeline reliability, and collaborating with engineering, GIS, and data science teams.

Requirements

Requires 7+ years of production data engineering experience, expert Databricks skills, and strong Python and PySpark capabilities. Candidates should have experience with medallion architecture, data governance, streaming or near-real-time ingestion, Azure data platforms, and time-series data modeling; network or telecom experience and relevant certifications are preferred.

Skills

Databricks
PySpark
Python
Delta Lake
Unity Catalog
Databricks Workflows
Delta Live Tables
Data Pipeline Development
Medallion Architecture
Data Modeling
Azure Data Lake Storage Gen2
Streaming Data Ingestion
Data Governance
Data Quality Monitoring
Time-Series Data
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
Delta Lake
Unity Catalog
Databricks Workflows
Delta Live Tables
Bronze-Silver-Gold Medallion Architecture
ELT Pipelines
Azure Data Lake Storage Gen2
Kafka
Event Hubs
Databricks Auto Loader
Terraform
Network Telemetry
SNMP
Syslog
NetFlow
RAN KPIs
Time-Series Data
Data Governance
Data Quality
Machine Learning
Geospatial Data
Telecommunications
Fiber
Fixed Wireless
Satellite Broadband
On-Premises Data Platforms
Databricks Certified Data Engineer

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