Jobs in Toronto, ON and nearby

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

88,447 listings · 10,500 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,421 listings), Loblaw Companies Limited (1,245 listings), S M Software Solutions Inc (963 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,434 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	7,984
CAD / hour	26.00	5,201
USD / year	110,000.00	542
USD / hour	29.00	292
CAD / month	6,435.04	29
CAD / week	2,868.82	24

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.

Workplace classifications: 0% remote, 29% hybrid, 71% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Toronto, ON and nearby

Within 25 km

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Added 2 hours ago
XI
Director of Procurement
Xplore Inc.
Markham, ON
- Full-time
Added 2 hours ago
CA
Quality Assurance Coordinator
Chartright Air Group
Mississauga, ON
- Full-time
Added 2 hours ago
QW
SAP S/4 HANA Basis Administrator
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 2 hours ago
I
Business Development Representative
isgSearch
Toronto, ON
- $40,000 to $60,000 CAD / year
- Full-time
Added 2 hours ago
BT
SAP Compensation Management Lead
BULL TECHNICAL SERVICES LIMITED
Toronto, ON
- Full-time
Added 2 hours ago
J
Accounts Receivable Manager
Jagger
Toronto, ON
- Full-time
Added 2 hours ago
C
Project Coordinator (18 month contract)
Cineplex
Toronto, ON
- Full-time
Added 2 hours ago
C
Financial Services Representative
CIBC
Toronto, ON
- Full-time
Added 2 hours ago
Pharmacy Technician
Sinai Health
Toronto, ON
Added 2 hours ago
BP Supervisor Hourly -Mississauga - Hurontario
Recipe Unlimited
Mississauga, ON
Added 2 hours ago
L
Lab Patient Technician - Part Time - Toronto, ON
LifeLabs
Toronto, ON
- Part-time
Added 2 hours ago
ECH - Design Merchandiser
The Employee Experience Team
Vaughan, ON
Added 2 hours ago
Digital Product Owner - Conversational AI
Enercare
Markham, ON
Added 2 hours ago
JS
Full-Time Supervisor
JD Sports / Livestock / Size?
Toronto, ON
- Full-time
Added 2 hours ago
Business Aligned Compliance Officer Investment Bank, Canada
UBS
Toronto, ON
Added 2 hours ago
SI
Retail Operations Supervisor
Staples Inc.
Toronto, ON
- Full-time
Added 2 hours ago
Senior Manager, Strategic Initiatives (Underwriting/ Personal Lines)
Aviva
Markham, ON · Toronto, ON
Added 2 hours ago
AM
Advanced Substrate Design & Process Integration
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 2 hours ago
TF
Curriculum and Program Quality Lead/Manager
The Foray Group
Markham, ON
- Full-time
Added 2 hours ago
F
Landscape Architect/Designer
Fotenn
Toronto, ON
- Full-time
Added 2 hours ago
PM
Commercial Analyst
Profound Medical
Mississauga, ON
- $100,000 to $140,000 CAD / year
- Full-time
Added 2 hours ago
DI
Continuous Improvement Associate
Delmar International Inc.
Mississauga, ON
- Full-time
Added 2 hours ago
A
Vice President, Construction Management - Monark
AtkinsRéalis
Mississauga, ON
- Full-time
Added 2 hours ago
FC
Maintenance Technician I
FedEx Canada
Mississauga, ON
- Full-time
Added 2 hours ago
LA
Process Engineer
Litens Automotive Group
Woodbridge, ON
- Full-time

KData AI

Senior Databricks Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Role Overview

We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this role, you will take technical ownership of end-to-end batch and streaming pipelines, implement robust governance and security controls via Unity Catalog, drive platform-wide performance tuning and FinOps initiatives, and mentor engineering talent across the data organization.

Key Responsibilities

Lakehouse Architecture & Modeling: Spearhead the end-to-end technical design and implementation of highly scalable lakehouse pipelines adhering to the Medallion Architecture (Bronze, Silver, Gold), dimensional modeling principles, and robust Change Data Capture (CDC) patterns.
Pipeline Development & Orchestration: Build high-throughput, fault-tolerant batch and real-time streaming ingestion pipelines using PySpark, Spark SQL, Delta Lake, Auto Loader, and Databricks Workflows / Lakeflow Jobs.
Performance Tuning & FinOps Leadership: Profile workloads, analyze execution plans, and optimize compute configurations to drive down runtimes and minimize Databricks Unit (DBU) consumption using liquid clustering, Photon, serverless compute, and automated table maintenance (OPTIMIZE, VACUUM).
Enterprise Governance & Security: Architect and enforce fine-grained access control policies (row/column-level security, data masking), data lineage tracking, and auditing using Databricks Unity Catalog across multi-workspace and multi-region environments.
DevOps, IaC & CI/CD: Establish automated deployment pipelines, testing frameworks, and code promotion standards using Databricks Asset Bundles (DABs), Terraform, and CI/CD tools (GitHub Actions, Azure DevOps, or GitLab CI).
Technical Mentorship & Cross-Functional Alignment: Serve as the subject matter expert on the Databricks ecosystem, establishing code quality benchmarks, leading architecture reviews, and mentoring mid-to-senior engineers while partnering closely with Analytics and Machine Learning teams.

Requirements

Required Qualifications

Experience: 8+ years of hands-on software and data engineering experience, with at least 5+ years of dedicated, deep technical experience architecting and building production-grade solutions on the Databricks platform.
Core Languages: Advanced, expert-level proficiency in Python (PySpark, Spark Core) and Advanced SQL (complex analytical queries, window functions, and physical query execution plan tuning).
Lakehouse Internals: Deep operational mastery of Delta Lake internals (ACID guarantees, transaction logs, data skipping, Z-ordering/liquid clustering, compaction, and schema evolution) along with Structured Streaming.
Cloud Architecture & Networking: Substantial production experience across cloud storage and networking architectures (AWS, Azure, or GCP), including private link, VPC peering/vNet injection, IAM roles, and secure storage access patterns (e.g., ADLS Gen2, AWS S3).
Governance & Access Management: Proven track record designing and managing Databricks Unity Catalog at scale (catalogs, schemas, volumes, external locations, privilege inheritance, and metastore integrations).
Software Engineering Rigor: Strong background in enterprise-level version control workflows (Git), automated unit/integration testing (TDD), modular software design, and automated CI/CD practices.

Preferred Qualifications

Certifications: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
Infrastructure as Code (IaC): Production experience provisioning workspaces, clusters, and access permissions using Terraform.
Modern Data Stack: Practical experience with dbt (dbt-databricks), Apache Kafka, Azure Event Hubs, Delta Live Tables (DLT), or MLflow integration.
BI & Consumption Layer: Hands-on experience optimizing Databricks Serverless SQL Warehouses for downstream consumption tools such as Power BI, Tableau, or Looker.

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More about this job

Responsibilities

Architect and build scalable lakehouse solutions and reliable batch and streaming pipelines, while implementing governance, security, and performance and cost optimizations. Establish deployment and testing practices, lead technical reviews, and mentor engineers while collaborating with analytics and machine learning teams.

Requirements

Requires 8+ years of software and data engineering experience, including at least 5+ years building production Databricks solutions, with expert Python/PySpark and advanced SQL skills. Candidates should have deep Delta Lake and Structured Streaming expertise, cloud networking and storage experience, Unity Catalog governance knowledge, and strong software engineering, testing, Git, and CI/CD practices.

Skills

Databricks
PySpark
Python
Spark SQL
Advanced SQL
Delta Lake
Structured Streaming
Unity Catalog
Lakehouse Architecture
Data Modeling
Change Data Capture
Terraform
CI/CD
Cloud Architecture
Performance Tuning
Technical Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
Spark Core
Spark SQL
Delta Lake
Structured Streaming
Unity Catalog
Medallion Architecture
Change Data Capture
Auto Loader
Databricks Workflows
Lakeflow Jobs
Photon
Liquid Clustering
Databricks Asset Bundles
Terraform
GitHub Actions
Azure DevOps
GitLab CI
AWS
Azure
Google Cloud Platform
ADLS Gen2
Amazon S3
dbt
Apache Kafka
Azure Event Hubs
Delta Live Tables
MLflow

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