Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

195,061 listings · 20,404 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,025 listings), Shoppers Drug Mart (3,884 listings), Walmart Canada (3,178 listings).

Common roles: Retail sales associate, Practical nurse, Stock associate.

31,698 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 / hour	23.00	16,310
CAD / year	80,000.00	12,738
USD / year	100,000.00	785
USD / hour	20.00	649
CAD / month	5,561.68	54
CAD / week	1,250.00	33
CAD / day	200.00	15

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, 17% hybrid, 82% 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 Ontario

Email me new jobs Save this search

Added 3 hours ago
BI
Senior Jira Administrator With JQL queries EXP
BURGEON IT SERVICES
Toronto, ON
- Contract
Added 3 hours ago
I
AP Analyst
isgSearch
Toronto, ON
- Full-time
Added 3 hours ago
P
Logistics Coordinator
PheedLoop
Toronto, ON
- Full-time
Added 3 hours ago
LA
MRO Buyer
Les Aliments DAINTY Foods Inc.
Windsor, ON
- Full-time
Added 3 hours ago
RB
Hydrogeologist
Recruitment By Design
Waterloo, ON
- $100,000 to $150,000 CAD / year
- Full-time
Added 3 hours ago
IG
Business Intelligence Analyst
Insight Global
Toronto, ON
- Contract
Added 3 hours ago
QW
Quality Engineer (QE) / SDET – AI Chatbot Validation
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 3 hours ago
RB
Water Resources Engineer
Recruitment By Design
Mississauga, ON
- $90,000 to $140,000 CAD / year
- Full-time
Added 3 hours ago
SI
Pega Lead System Architect
Spruce InfoTech Inc.
Toronto, ON
- Contract
Added 3 hours ago
AH
Sr. Human Resource Generalist
ATS Healthcare (Canada)
Vaughan, ON
- Temporary
Added 3 hours ago
BS
E-Commerce / Ecommerce Coordinator
Bilingual Source
Markham, ON
- Full-time
Added 3 hours ago
AR
Quality Engineer (Temp to hire) - Automotive Parts Manufacturer (KN36204)
Activ8 Recruitment & Solutions
Orangeville, ON
- $70,000 to $75,000 CAD / year
- Contract
Added 3 hours ago
A
Data Architect
Altis
Mississauga, ON
- Full-time
Added 3 hours ago
LA
Senior Project Engineering Manager - Power Generation
LVI Associates
Toronto, ON
- Full-time
Added 3 hours ago
TI
Senior Project Manager
Teckhorizon Inc
Toronto, ON
- Contract
Added 3 hours ago
I
SMT Programmer Technician
isgSearch
Toronto, ON
- $60,000 CAD / year
- Full-time
Added 3 hours ago
SG
Associate Design Strategist
Superior Glove
Acton, ON
- Full-time
Added 3 hours ago
JG
Data Engineer with Metadata- 9+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Added 3 hours ago
LP
Condominium Property Manager
Living Properties Inc.
Brampton, ON
- Full-time
Added 3 hours ago
LA
Staff Electrical Engineer
LVI Associates
Toronto, ON
- $160,000 USD / year
- Full-time
Added 3 hours ago
GP
Manager
GGA Partners™
Toronto, ON
- Full-time
Added 3 hours ago
BS
Bilingual Case Support Coordinator (hybrid)
Bilingual Source
Toronto, ON
- Full-time
Added 3 hours ago
W
(CAN) Pharmacy Assistant
Walmart
Belleville, ON
- Part-time
Added 3 hours ago
W
(CAN) Overnight Associate Temporary - Contract ends May 17, 2027
Walmart
Brampton, ON
- Part-time
Added 3 hours ago
LC
Front End Clerk Part Time Evening
Loblaw Companies Limited
Mississauga, ON
- Part-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.

Apply About employer

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

Report this job