Data engineer jobs in Mississauga, ON and nearby

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 5, 2026

Hiring at a glance

View jobs

Open jobs: 427
Employers: 212

Advertised starting pay

Average starting payCAD / year: $103,173Across 44 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%187 listings
On-site: 55%236 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (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 5 months ago
KS
Data Engineer
Kumaran Systems
Toronto, Ontario
- Full-time
Added 5 months ago
T
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Techedin
Toronto, Ontario
- $65 to $72 CAD / hour
- Contract
Job Title: Senior Data Engineer (Python, Spark, Snowflake)
Added 1 month ago
Associate, Data Engineer
BMO
Toronto, ON
Added 1 month ago
XG
Senior Data Engineer
Xforia Global Talent & Technology Solutions
Toronto, ON
- Contract
Data Architecture: Hands-on experience with payments data, including metadat
Added 1 month ago
R
Senior Data Engineer
RBC
Toronto, ON
- Full-time
We are seeking a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting. The role will focus on developing ETL/ELT pipelines using…
Added 5 months ago
T
Data Engineer
Tactable
Toronto, Ontario
- Full-time
At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led…
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 1 month ago
L
Data Engineer Intern (Summer 2027)
Lyft
Toronto, ON
- $40 to $45 CAD / hour
Added 6 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 6 months ago
TI
Data Engineer (Python/Spark)
Take-Two Interactive Software
Toronto, Ontario
- $120,000 CAD / year
- Full-time
Added 6 months ago
B
Data Engineer
BrainStation
Toronto, Ontario
- $90,000 to $125,000 CAD / year
- Full-time
Added 6 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 1 month ago
T
Data Engineer
Tekshapers
Mississauga, ON
- Full-time
3. Data Analysis and Data Wrangling skills when dealing with Huge Volume.
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting. The role will focus on developing ETL/ELT pipelines using…
Added 1 month ago
N(
Microsoft Fabric Data Engineer
Net2Source (N2S)
Brampton, ON
- Contract
Design| develop| and maintain data solutions using Microsoft Fabric components including Data Factory| Data Engineering| Data Warehouse| Lakehouse| and Real-Time Analytics.
Added 1 month ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
Added 4 months ago
C
Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario
- Full-time
…infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data…
Added 4 months ago
BA
Manager, Data Engineer
Brookfield Asset Management
Toronto, Ontario
- Full-time
Added 2 months ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
The Principal Data Engineer will report to Directo
Added 2 months ago
A
Principal Data Engineer, User Success
Autodesk
Toronto, ON
- Full-time
The Principal Data Engineer will report to Directo
Added 3 months ago
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
Added 5 months ago
N
Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
Added 5 months ago
Data Engineer
Glint Tech Solutions LLC
Toronto, Ontario
We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with…

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

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

For Canada based roles, we expect a starting base salary between $120,000 and $176,000. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: For Canada based roles, we expect a starting base salary between $120,000 and $176,000.
Job type: Full-time
Experience: 10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Posting language: English
Posted: Aug 13, 2026

Original job description

Job Requisition ID #

26WD98052

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
- that support LLMs and agentic workflows
- optimized for:
  - Retrieval (e.g., embeddings, vector search)
  - Contextual data access
  - Real-time and iterative feedback loops
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Partner with stakeholders to translate product questions into measurable data signals
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders.

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

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 $120,000 and $176,000. 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.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Apply About employer

More about this job

Responsibilities

Architect and implement large-scale batch and streaming pipelines to power AI-native experiences and agentic insights. Collaborate with AI/ML teams to operationalize feature stores and RAG-based systems while guiding data tooling decisions.

Requirements

Requires over 10 years of experience in data engineering with deep expertise in Python, Spark, and AWS cloud infrastructure. Must have hands-on experience with LLM ecosystems, vector databases, and streaming technologies like Kafka.

Skills

Python
Spark
PySpark
SQL
LLM Ecosystems
Vector Databases
RAG
Kafka
Flink
dbt
AWS
Snowflake
Data Governance
ETL/ELT Pipelines
Distributed Systems
Product Telemetry

Benefits

Annual Cash Bonuses
Commissions For Sales Roles
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Agentic AI
LLM
RAG
Vector Search
Embeddings
PySpark
Kafka
Flink
dbt
Iceberg
Hive
Snowflake
Redshift
Athena
AWS EMR
AWS Glue
S3
Lambda
Step Functions
Product Telemetry
Clickstream Data
Behavioral Analytics
Feature Stores
Data Governance
Data Lineage
Distributed Systems
ETL
ELT
Airflow

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Advertised starting pay

Where work happens

Data engineer jobs in Mississauga, ON and nearby

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