Jobs in Toronto, ON and nearby (100,715 jobs)

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

100,715 listings · 11,234 employers Counted Nov 11, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,618 listings), Loblaw Companies Limited (1,402 listings), S M Software Solutions Inc (1,195 listings).

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

16,457 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	9,650
CAD / hour	27.00	6,271
USD / year	155,000.00	78
CAD / month	4,500.00	39
CAD / week	1,650.00	37
CAD / day	165.00	14

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 4 mins ago
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Yochana

Data Implementation Engineer (Snowflake, Hadoop)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Experience: 4+ Years of Data Engineering experience
Posting language: English
Posted: Nov 11, 2026

Original job description

Position Name – Data Implementation Engineer

Type of hiring – Fulltime/Subcon

Location – Toronto, ON (3 days from client office in Ethoca office)

Job Description:

Skills & Qualifications:

4+ Years of Data Engineering experience
Advanced SQL; experience with relational and NoSQL databases
Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure
Proficiency in Python for data engineering
Familiarity with orchestration tools and workflow management systems

Responsibilities:

Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure
Implement data architectures and optimize workflows for large financial datasets
Write high-quality, maintainable Python and SQL code following best practices
Integrate data governance, metadata management, and lineage tracking into solutions

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and architectures using Snowflake, Hadoop, Spark, PySpark, and Azure, while optimizing workflows for large financial datasets. Write maintainable Python and SQL code and integrate data governance, metadata management, and lineage tracking into solutions.

Requirements

Requires at least four years of data engineering experience, advanced SQL skills, and experience with relational and NoSQL databases. Candidates should have strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, and Azure, proficiency in Python, and familiarity with orchestration and workflow management systems.

Skills

Data Engineering
Advanced SQL
Relational Databases
NoSQL Databases
Snowflake
Hadoop
Spark
PySpark
Databricks
Azure
Python
Data Pipelines
Data Architecture
Data Governance
Metadata Management
Data Lineage

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Hadoop
Spark
PySpark
Databricks
Azure
Python
SQL
Relational Databases
NoSQL Databases
Data Pipelines
Data Architecture
Financial Datasets
Workflow Optimization
Orchestration
Workflow Management
Data Governance
Metadata Management
Data Lineage
IT Services
IT Consulting

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Work requirements

Jobs in Toronto, ON and nearby