Data engineer jobs in Toronto, ON and nearby

Data engineer jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 416
Employers: 211

Advertised starting pay

Average starting payCAD / year: $99,363Across 32 listings
Average starting payCAD / hour: $63.50Across 24 listings
Average starting payUSD / year: $109,286Across 14 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 43%179 listings
On-site: 56%233 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

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

Data engineer jobs in Toronto, ON and nearby

Within 25 km

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Added 10 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON
- Full-time
Added 10 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 10 days ago
Data Engineer
Capgemini
Mississauga, ON
Added 10 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 11 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
Added 11 days ago
H
AWS Data Engineer
HCLTech
Toronto, ON
- Full-time
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Added 11 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 11 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 11 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Added 11 days ago
J
Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
Added 11 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 11 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
Added 11 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 11 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON
Added 11 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 12 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
ProxyLink is working with a client hiring for an experienced Data Engineer to design,
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to jo
Added 12 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 12 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 12 days ago
TI
Data Engineer
Tekgence Inc
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology
Added 12 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…

Lotus IT Solutions

DataOps/Cloud Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

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Ref: RQ11576 Contract – 12 Months (Extension Possible) Onsite – Toronto (595 Bay St.)

Posted Date: 2026-10-20

Location: Onsite – Toronto (595 Bay St.)

Public Sector Experience: Required – OPS / Public Sector

Contract End Date: 2027-10-01 *

Rate: $97/hour

Overview

The Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to join their team in Toronto. The successful candidate will design, implement, and support cloud-based data platforms, pipelines, and integration services that enable data governance, quality, and interoperability across enterprise environments. This is a fully onsite, senior-level engagement requiring deep expertise in modern data engineering practices and cloud-native architectures.

Key Responsibilities

Design and develop scalable data pipelines and ETL/ELT processes from source systems to end users
Implement and optimize cloud-based data platforms, including Data Lake, Data Lakehouse, and Data Warehouse architectures
Develop and maintain integration solutions using APIs, event-driven architectures, and batch or streaming technologies
Implement DataOps practices including CI/CD pipelines, deployment automation, testing, monitoring, and operational support
Automate metadata collection, data movement, and operational processes across the platform
Enable data quality, lineage, and metadata capabilities within cloud data environments
Support cloud modernization and large-scale data migration initiatives involving OLAP and OLTP environments
Manage cloud data services including storage repositories, key vaults, virtual machines, and Data Lake configurations
Collaborate with architects, data modellers, and governance teams to operationalize data standards and common data models
Perform DataOps performance monitoring, tuning, and troubleshooting of complex technical issues
Deliver cloud-hosted data products and reusable data services aligned to enterprise data governance and security best practices

Must-Have Requirements

Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services
Strong experience developing scalable ETL/ELT processes, data pipelines, and integration solutions
Experience implementing DataOps practices including deployment automation, CI/CD, testing, monitoring, and operational support
Experience with cloud-native data engineering and modern data platform architectures (SaaS, PaaS, IaaS)
Experience implementing metadata, lineage, and data quality capabilities within cloud data environments
Experience developing integration solutions using APIs, event-driven architectures, and batch or streaming technologies
Experience with Databricks, Delta Lake, and Databricks SQL
Knowledge of Medallion Architecture
Experience with Azure Data Services and/or Azure Data Factory
Experience with Informatica or equivalent enterprise integration platforms
Experience operationalizing common data models and metadata repositories
Knowledge of data governance, security, and operational best practices for cloud platforms
Experience supporting cloud modernization and data migration initiatives
Strong analytical, organizational, and communication skills with a track record of meeting deadlines

Nice-to-Have Skills

Experience with Microsoft Fabric and Microsoft Purview
Experience with graph technologies and semantic repositories
Knowledge and understanding of AODA and related accessibility standards
Prior experience in the Ontario Public Sector (OPS) or broader public sector environment
Ability to adapt to changing project priorities and tight delivery timelines

Work Environment

This is a fully onsite position, five days per week, based at 595 Bay St., Toronto. No security clearance is required. The team follows Agile project development and deployment practices. The role involves collaboration with architects, data modellers, and governance stakeholders across the Government Services Integration Cluster.

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Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.

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More about this job

Responsibilities

Design, implement, and support cloud data platforms, scalable pipelines, and integration services, including data lake, lakehouse, and warehouse architectures. Establish DataOps automation and operational practices, support cloud modernization and migration, and enable data quality, lineage, metadata, governance, and secure reusable data products.

Requirements

Requires strong experience building and supporting cloud data platforms, ETL/ELT pipelines, integrations, and DataOps practices, including CI/CD, testing, monitoring, and operational support. Candidates should have experience with Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure data services, and enterprise integration platforms, plus knowledge of governance, metadata, and data migration; public-sector experience is required.

Skills

DataOps
Cloud Data Engineering
ETL/ELT
Data Pipelines
Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Informatica
Data Governance
Data Quality
Metadata Management
Data Lineage
API Integration

Visa sponsorship

Not detected in the job text

Keywords

DataOps
Cloud Data Engineering
Cloud-Native Architecture
ETL/ELT
Data Pipelines
Data Lake
Data Lakehouse
Data Warehouse
Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Microsoft Fabric
Microsoft Purview
Informatica
APIs
Event-Driven Architecture
Batch Processing
Streaming
CI/CD
Deployment Automation
Data Quality
Data Lineage
Metadata Repositories
Data Governance
Data Migration
OLAP
OLTP

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