Data engineer jobs in Mississauga, ON and nearby (433 jobs)

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

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 433
Employers: 213

Advertised starting pay

Average starting payCAD / year: $103,102Across 45 listings
Average starting payCAD / hour: $62.47Across 30 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 44%191 listings
On-site: 55%238 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), Capgemini (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 Mississauga, ON and nearby

Within 25 km

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Added 1 month ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON
- Full-time
Added 2 months ago
M
Staff Data Engineer
MaintainX
Toronto, ON
- Full-time
Added 2 months ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 2 months ago
B
Data Engineer - Sports & Prediction Markets
Betstamp
Toronto, ON
- Full-time
Added 2 months ago
B
Market Data Engineer - Prediction Markets & Odds Infrastructure
Betstamp
Toronto, ON
- Full-time
Added 2 months ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform
Added 2 months ago
JG
DataOps/Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS. Microsoft Fabric) and be able…
Added 2 months ago
PH
Sr. Data Engineer
Propel Holdings
Toronto, ON
- Full-time
Added 2 months ago
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
6 8+ years in production data pipeline L1/L2 support.
Added 2 months ago
SH
Data Engineer
Spectrum Health Care
Toronto, ON
- Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 2 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 CAD / year
- Full-time
Added 2 months ago
Senior Data Engineer
Scotiabank
Toronto, ON
We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing,…
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
This is a hands-on technology leadership role responsible for architecting, developing, optimizing, and operating large-scale batch and real-time data-processing platforms at an e
Added 2 months ago
Senior Data Engineer
Konrad
Toronto, ON
Added 2 months ago
Data Engineer
Konrad
Toronto, ON
Added 2 months ago
E
Sr. Data Engineer
eBay
Toronto, ON
- Full-time
Added 2 months ago
E
Sr. Data Engineer Manager
eBay
Toronto, ON
- Full-time
Added 2 months ago
E
Data Engineer
eBay
Toronto, ON
- Full-time
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Full-time
Build| Launch and scale DFPaaS (Data Factory Platform as a Service) across Client Data Product Prod
Added 2 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 CAD / year
- Full-time
Added 3 months ago
V
Data Engineer
Vretta
Toronto, ON
- Full-time
Vretta is looking for a Data Engineer to join our Data and Evaluation team. This position requires excellent communication skills, creative problem solving ability, and a sound technical…
Added 3 months ago
F
Data Engineer
Financeit
Toronto, ON
- $75,000 to $95,000 CAD / year
- Full-time
Added 3 months ago
JG
Data Engineer (Azure)
J&M Group
Toronto, ON
- Full-time
Looking for a Data Engineer with strong experience in ADF, ADB, PySpark, SQL, and architecting ETL frameworks.

Vanguard

Sr Data Engineer, Specialist

Toronto, ON, Canada

Expected Salary Range: $90,000-$140,000 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Expected Salary Range: $90,000-$140,000
Job type: Full-time
Posting language: English
Posted: Sep 3, 2026

Original job description

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
architecture and data modeling to help build the next generation of our data foundation , including data
platforms such as Advisor360, CRM integrations, ETF/MF data pipelines, and other enterprise analytics assets.

This is a senior, highly autonomous role. You will operate as a technical consultant and data architecture
thinker, working closely with stakeholders to understand ambiguous business needs, conduct independent
investigations, and design solutions that are scalable, reliable, and aligned to both business and technology
goals.

Ideal candidates have 5+ years of data engineering experience and thrive in environments where they drive
clarity, define standards, and elevate engineering best practices across the team

Responsibilities:

Data Engineering & Architecture:

Design, build, and optimize scalable, secure, and repeatable data pipelines using AWS (S3, Glue, Lambda, Step Functions, Redshift, IAM) and Databricks (PySpark, Lakeflow, Delta Lake, Unity Catalog).

Serve as the technical leader for data ingestion pipelines, modeling new datasets such as Advisor360, CRM, ETF, and Mutual Fund platforms.

Apply strong data modeling (dimensional, canonical, and domain-driven) principles to support analytics, reporting, and AI/ML use cases.

Ensure alignment with enterprise data architecture standards, promoting reusability, governance, and long-term maintainability.

Consultative Problem Solving:

With limited guidance, independently perform deep investigations, identify data issues, and propose solutions that balance performance, cost, risk, and business needs.

Engage business stakeholders to gather ambiguous requirements, ask the right questions, and translate them into clear technical designs.

Provide thought leadership and recommend technical patterns, frameworks, and toolsets.

Data Quality, Reliability & Operations:

Implement robust data quality frameworks, monitoring, and alerting to ensure high trust in business-critical data assets.

Troubleshoot data inconsistencies and ensure proper logging, testing, and recovery mechanisms across pipelines.

Lead regression testing, software upgrades, and production deployments with strong change control discipline.

Collaboration & Leadership:

Lead all phases of solution development - from design to deployment and operationalization.

Mentor and guide other engineers in coding standards, architecture patterns, Databricks best practices, and AWS platform usage.

Partner with Data Architecture, Analytics, Product, and Business teams to deliver solutions that improve decision-making.

Provide training sessions and documentation to uplift the data engineering maturity across the organization.

Special Projects:

Participate in strategic initiatives such as AI readiness, data unification efforts, metadata strategy, and enterprise integration roadmaps.

Drive continuous improvement in engineering frameworks, onboarding workflows, and platform capability.

Required Skills:

5+ years of experience in data engineering, data architecture, or large-scale distributed data systems.

Expert-level experience with cloud platforms such as AWS, GCP, or Azure, leveraging services for data storage, ingestion, pipeline orchestration, database or lake house management, data transformation.

5+ years of hands-on experience designing, developing, and supporting enterprise-scale data pipelines on the Databricks Lakehouse platform using PySpark, Delta Lake, Databricks Workflows, and Lakeflow Declarative Pipelines

Strong background in data modeling (dimensional, canonical, data vault, or domain-driven).

Proven ability to work independently with minimal direction and deliver high-quality solutions in ambiguous environments.

Demonstrated experience translating complex business problems into scalable technical solutions.

Strong SQL and Python skills, with emphasis on ETL/ELT pipeline development.

Experience with CI/CD, GitHub, DevOps workflows, and automated testing.

Preferred Skills:

Experience in asset management, wealth management, or financial services (ETF, Mutual Funds, CRM, Advisor analytics).

Experience with enterprise data quality tools and metadata management concepts.

Familiarity with modern semantic layers, dbt, or domain-oriented data mesh concepts.

Undergraduate degree or equivalent professional experience in Computer Science, Engineering, Information Systems, or related field.

Pay Transparency

Expected Salary Range: $90,000-$140,000

Our compensation ranges are based on role, level, and local market. Individual pay within the range is determined by factors such as job-related skills, experience, and relevant education or training. For part-time roles, pay will be pro-rated based on regularly scheduled hours.

In addition to the range above, Vanguard’s total compensation package may include performance-based incentives, discretionary bonuses, and other perks. We also offer comprehensive benefits such as health insurance, accident and life insurance, and retirement savings plans. Your recruiter will be able to provide additional details on the total compensation offering during the hiring process.

AI Disclosure Statement
Vanguard does not use artificial intelligence (AI) or automated decision-making tools in its recruitment process. All application reviews and hiring decisions are made by our recruitment team.

Accommodations

Vanguard is committed to fostering an accessible and inclusive workplace. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. If you require accommodation at any stage of the recruitment process, please inform us. We will work with you to meet your needs, and you can reach us at americas_crewcentral@vanguardhr.com , quoting the job ID and job title.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable data pipelines using AWS and Databricks while serving as a technical leader for enterprise data assets. Collaborate with stakeholders to translate ambiguous business needs into reliable, high-quality technical solutions.

Requirements

Requires 5+ years of experience in data engineering and expert-level proficiency with cloud platforms and Databricks. Candidates must possess strong data modeling skills and the ability to work independently in complex, enterprise-scale environments.

Skills

AWS
Databricks
PySpark
Data modeling
Data engineering
Python
SQL
Delta Lake
ETL/ELT
CI/CD
DevOps
Data architecture
Cloud platforms
Distributed data systems
Data quality
Technical consulting

Benefits

Health insurance
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

AWS
Databricks
PySpark
Delta Lake
S3
Glue
Lambda
Redshift
Unity Catalog
Data modeling
Dimensional modeling
Data vault
ETL
ELT
CI/CD
GitHub
DevOps
Python
SQL
Data mesh
dbt
Metadata management
Data quality
Financial services
Asset management
Wealth management
Data pipelines
Cloud computing
Lakehouse
Enterprise architecture

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