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 18 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

Autodesk

Senior Data Engineer

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $107,000 and $157,300. · Full-time

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Applications open in a new tab.

Job details

Pay: For Canada based roles, we expect a starting base salary between $107,000 and $157,300.
Job type: Full-time
Posting language: English
Posted: Oct 15, 2026

Original job description

Job Requisition ID #

26WD101542

Position Overview

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 software. This is a key strategic initiative that leverages large-scale data processing and analytics to drive business impact.

In this role, you will design, build, and optimize scalable data pipelines and distributed processing systems that handle billions of records. You will focus on improving platform reliability, performance, scalability, and operational efficiency while enabling business-critical analytics.

We are looking for an engineer who combines strong expertise in big data technologies with hands-on experience using AI-powered development tools to accelerate engineering workflows, improve code quality, and deliver solutions faster.

The ideal candidate is technically strong, self-driven, comfortable owning complex engineering initiatives, and passionate about leveraging modern technologies and AI-assisted development practices to solve challenging data engineering problems.

Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions.

Responsibilities

Leverage AI-powered development tools to accelerate coding, debugging, refactoring, test generation, documentation, and troubleshooting of complex data engineering solutions
Integrate AI-assisted development practices into engineering workflows to improve productivity, code quality, and delivery speed
Evaluate and validate AI-generated solutions for correctness, performance, maintainability, and security while following responsible AI practices
Identify opportunities to automate repetitive engineering tasks and improve developer efficiency through AI-powered solutions
Design, develop, and optimize large-scale batch and near-real-time data processing pipelines using Apache Spark, PySpark, and Spark SQL
Build scalable and efficient ETL/ELT pipelines capable of processing billions of records across distributed data platforms
Optimize distributed processing workloads through partitioning, efficient joins, query tuning, resource management, and performance analysis
Develop and maintain data processing solutions using technologies such as Hive, Snowflake, AWS S3, EMR, and Glue
Build and maintain production-grade data workflows using Apache Airflow, including DAG development, scheduling, dependency management, retries, and failure recovery
Implement data quality checks, pipeline monitoring, observability, and alerting to ensure reliable data processing
Design reusable, modular, and fault-tolerant pipelines supporting incremental processing, backfills, and operational scalability
Troubleshoot production issues and continuously improve pipeline reliability, performance, and cost efficiency
Develop and maintain scalable, cloud-native data infrastructure on AWS
Automate infrastructure provisioning, deployments, and operational processes using Infrastructure as Code and CI/CD practices
Implement automated testing, version control, code reviews, and software engineering best practices
Own the end-to-end delivery of data engineering solutions, from technical design and implementation to deployment and production support
Partner with product managers, data scientists, analysts, and business stakeholders to translate business requirements into scalable technical solutions
Design efficient data models and curated datasets to support compliance detection, product usage analytics, and business reporting
Define and promote data engineering standards, reusable frameworks, and architectural best practices
Communicate technical designs, trade-offs, and engineering outcomes effectively to stakeholders

Minimum Qualifications

4–7 years of relevant experience in data engineering, big data systems, or software engineering, building and operating production-grade data platforms
3+ years of hands-on experience with Apache Spark, including PySpark, Spark SQL, and DataFrame APIs
3+ years of strong programming experience in Python and SQL, with demonstrated ability to write clean, modular, maintainable, and testable code
Strong understanding of distributed computing fundamentals, including parallel processing, partitioning, shuffling, data skew, fault tolerance, and Spark performance tuning
Hands-on experience with Apache Airflow for building, scheduling, and orchestrating complex data pipelines
Strong knowledge of ETL/ELT design patterns, data modeling, SQL optimization, and large-scale data processing architectures
Practical experience using AI-powered coding tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions in day-to-day software or data engineering development
Ability to effectively use AI tools for code generation, debugging, refactoring, testing, and accelerating engineering problem-solving
Understanding of AI-assisted development best practices, including prompt formulation, code validation, secure usage, and identifying limitations of AI-generated solutions
Experience with AWS data services such as S3, EMR, Glue, or equivalent cloud-based data processing platforms
Working knowledge of analytical data platforms such as Snowflake, Hive, or Presto/Trino
Experience with Git, CI/CD pipelines, and automation tools such as Jenkins
Familiarity with data quality frameworks, pipeline observability, production monitoring, and troubleshooting
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Preferred Qualifications

Experience with modern data lake or lakehouse architectures, including Apache Iceberg, Delta Lake, or Apache Hudi
Familiarity with streaming data processing technologies such as Apache Kafka or Spark Structured Streaming
Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
Experience developing reusable data engineering frameworks, libraries, or internal developer productivity tools
Familiarity with LLM APIs, AI agents, or AI-powered workflow automation applied to software or data engineering
Experience with BI and analytics platforms such as Power BI or Looker
Demonstrated experience improving engineering efficiency, pipeline performance, or cloud infrastructure costs through automation and optimization

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and distributed processing systems to support compliance detection and business analytics. Integrate AI-powered development tools into engineering workflows to improve productivity, code quality, and delivery speed.

Requirements

Requires 4–7 years of experience in data engineering or big data systems with strong proficiency in Python, SQL, and Apache Spark. Candidates must have hands-on experience with cloud-based data platforms and a bachelor's degree in a relevant field.

Skills

Python
SQL
Apache Spark
PySpark
Apache Airflow
Snowflake
AWS
ETL/ELT
Data modeling
Distributed computing
CI/CD
Infrastructure as Code
Data quality
Performance tuning
AI-assisted development
GitHub Copilot

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Big Data
Python
SQL
Apache Spark
PySpark
Spark SQL
Apache Airflow
Hive
Presto
Trino
Snowflake
AWS
S3
EMR
Glue
Git
Jenkins
Power BI
Looker
GitHub Copilot
ETL
ELT
Data Modeling
CI/CD
Infrastructure as Code
Distributed Systems
Cloud-native
Observability
Compliance

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