Data engineer jobs in Vaughan, ON and nearby

Data engineer jobs within 25 km of Vaughan, 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: 394
Employers: 205

Advertised starting pay

Average starting payCAD / year: $99,297Across 29 listings
Average starting payCAD / hour: $63.43Across 23 listings
Average starting payUSD / year: $109,231Across 13 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 43%170 listings
On-site: 56%220 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), Apptoza Inc. (10).

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 Vaughan, ON and nearby

Within 25 km

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Added 18 days ago
A
Senior Data Engineer
Autodesk
Toronto, ON
- Full-time
Autodesk is looking for a skilled and innovative Senior Data Engineer to join our Compliance team, which builds data-driven systems to detect and address non-compliant usage of Autodesk…
Added 19 days ago
Lead Data Engineer
Scotiabank
Toronto, ON
The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The…
Added 19 days ago
EC
Azure Data Engineer
Experis Canada
Toronto, ON
- Contract
Expert working knowledge of Unity Catalog and data governance setup/configuration
Added 19 days ago
AB
Data Engineer
Ateko, backed by Bell Canada
Toronto, ON
- Contract
5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines.
Added 19 days ago
D
Senior Data Engineer
DNV
Toronto, ON
- Full-time
The Senior Data Engineer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 19 days ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Added 19 days ago
M
Senior Data Engineer, Retirement Operations
Manulife
Toronto, ON
- Full-time
We are seeking an experienced Senior Data Engineer to support our North American Retirement organization. The role has significant exposure to Senior Leadership and opportunities to…
Added 19 days ago
E
Senior Data Engineer
emergiTEL
Toronto, ON
- Contract
emergiTEL is hiring a Sr. Data Engineer - Schematic and Reporting Focus. This role is available as contract or perm both.
Added 19 days ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 19 days ago
CS
Data Engineer
Confiar Services
Toronto, ON
- $55 to $60 USD / hour
- Contract
Data Engineer – Azure Databricks & Data Lineage
Added 19 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 19 days ago
E
Data Engineer
E-IT
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 19 days ago
E
Senior Data Engineer
Extendicare
Markham, ON
- Full-time
Reporting to the Sr. Manager, Data Architecture, the Senior Data Engineer will play a key role in designing, building, and modernizing enterprise data integrations that support business…
Added 19 days ago
AC
Process Data Engineer (Python / Snowflake)
ALTEN Canada
Toronto, ON
- Full-time
Added 20 days ago
B
Sr. Azure Data Engineer-DataBricks
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Azure Data Engineer-DataBricks. This position involves working within a dynamic team to support large-scale data…
Added 20 days ago
E
Cloud Data Engineer - Banking Domain
E-Solutions
Toronto, ON
- Contract
We are seeking a Cloud Data Engineer with strong Data Warehouse and Data Modeling experience, coupled with deep understanding of Finance products and loan data domains. The ideal candidate…
Added 20 days ago
T
IT Cloud Data Engineer || Toronto
TestingXperts
Toronto, ON
- Contract
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing…
Added 21 days ago
S
Data Engineer
Swoon
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Job Title: Data Analyst - Expert (Senior Data Engineer)
Added 21 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 21 days ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing…
Added 21 days ago
RI
Cloud Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
We are seeking a Cloud Data Engineer with strong Data Warehouse and Data Modeling experience, coupled with deep understanding of Finance products and loan data domains. The ideal candidate…
Added 21 days ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
AWS Data Engineer – Banking / Financial Services
Added 21 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
- Full-time
Added 22 days ago
PG
Azure Data Engineer
Pacer Group
Toronto, ON
- $50 to $55 CAD / hour
- Contract
7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies.
Added 22 days ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, ON
- Full-time

Loblaw Digital

Staff Data Engineer

Toronto, ON, Canada

$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an) · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an)
Job type: Full-time
Apply by: Nov 10, 2026
Posting language: English
Posted: Oct 11, 2026

Original job description

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building, and evolving high-scale data platforms and backend systems that power advertising measurement, reporting, analytics, and AI-enabled use cases.

You will lead complex design initiatives, improve performance and reliability across critical pipelines, raise the bar on code quality, and mentor engineers across teams. You will also work closely with backend, product, and AI teams to reduce system coupling, evolve metadata and API design, and enable next-generation data and AI capabilities across the platform.

This role is ideal for someone who enjoys being both a system architect and a strong individual contributor, and who wants to shape the future of data and AI platforms at scale.

What You'll Do

Architecture & Technical Leadership

Lead system-level design for scalable, reliable, and high-performance data platforms supporting batch, streaming, and real-time use cases.
Drive architectural improvements across data pipelines, metadata layers, APIs, and service dependencies.
Partner with Product, Backend, and AI teams to translate complex business requirements into robust technical solutions.

Data Engineering & Platforms

Architect, build, and optimize large-scale data pipelines using PySpark, Dataproc, Airflow, GCS, Parquet, and GCP services.
Design and maintain data models that support analytics, reporting, experimentation, and measurement at scale.
Implement strong data quality, validation, observability, and monitoring practices to ensure data trust and reliability.

Backend & API Enablement

Contribute to the design and evolution of backend services and APIs that expose measurement, filtering, and reporting capabilities.
Reduce unnecessary API and metadata dependencies to unlock better performance and flexibility, including deeper and more effective use of analytics engines such as Druid.
Collaborate closely with backend engineers on service design, scalability, and performance tuning.

AI & Data-for-AI Enablement

Partner with Data & AI teams to enable AI-driven features through high-quality, well-modeled, and inference-ready data pipelines.
Support Loblaw’s broader AI strategy (including LDIA initiatives) by designing data foundations that power experimentation, automation, and intelligent decision-making.
Help bridge traditional data engineering with emerging AI-enabled use cases.

Engineering Excellence & Mentorship

Lead design reviews and code reviews, setting standards for performance, readability, testing, and maintainability.
Mentor and coach engineers across experience levels, helping raise overall engineering maturity.
Drive continuous improvement across pipeline performance, cost efficiency, reliability, and operational excellence.

Does This Sound Like You?

BA/BS in Computer Science, Engineering, Math, or a related field (advanced degree is a plus).
Senior- or Staff-level Data Engineer with experience owning production-critical, large-scale systems.
Deep hands-on expertise with PySpark and distributed data processing, including performance optimization.
Strong experience with cloud data platforms, preferably GCP (Dataproc, GCS, BigQuery).
Strong SQL skills with experience querying and optimizing large analytical datasets.
Experience with non-relational and analytical data stores (e.g., Druid, Bigtable, Elasticsearch, or similar).
Solid programming experience in Python, Scala, or Java.
Experience with orchestration tools such as Airflow and operating production pipelines.
Strong understanding of data modeling, partitioning strategies, and storage formats (e.g., Parquet).
Experience working in Agile environments with iterative delivery.
Strong oral and written communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Proven team player who thrives in a fast-paced, collaborative environment.

Nice to Have

Experience supporting AI/ML workflows or platforms used for model training or inference.
Experience with real-time or streaming systems (e.g., Kafka or similar).
Experience in advertising technology, retail media, or large-scale measurement systems.
Experience designing or evolving metadata-driven systems and APIs.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

Please Note

Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle Salariale à L’embauche

$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an)

A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

#EN

#SS #LD #ON

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More about this job

Responsibilities

Lead the architecture and hands-on development of scalable data platforms, pipelines, and backend APIs supporting analytics, advertising measurement, reporting, and AI use cases. Improve performance, reliability, data quality, and engineering standards while partnering with product, backend, and AI teams and mentoring engineers.

Requirements

The role calls for senior- or staff-level experience owning production-critical, large-scale systems, with strong hands-on expertise in PySpark, distributed processing, SQL, and cloud data platforms, preferably GCP. Candidates should also bring programming and orchestration experience, knowledge of data modeling and analytical data stores, and strong communication and collaboration skills; a bachelor's degree in a related field is requested, with an advanced degree considered a plus.

Skills

PySpark
Distributed Data Processing
Google Cloud Platform
Dataproc
Google Cloud Storage
BigQuery
SQL
Python
Scala
Java
Apache Airflow
Data Modeling
Data Pipeline Optimization
Druid
Data Quality and Observability
Technical Leadership

Benefits

Comprehensive Training
Flexible Work Arrangements
Competitive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Retail Media
Advertising Measurement
Data Engineering
Data Platform Architecture
PySpark
Distributed Data Processing
Google Cloud Platform
Dataproc
Google Cloud Storage
BigQuery
Apache Airflow
Parquet
Druid
Bigtable
Elasticsearch
SQL
Python
Scala
Java
Data Modeling
Batch Processing
Streaming Systems
Real-Time Data
Data Quality
Observability
API Design
Metadata-Driven Systems
AI and Machine Learning
Agile
Performance Optimization

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