Jobs in Canada

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Added 2 days ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 2 days ago
Senior Manager, Forward Deployed AI Engineer
Clearsulting
Canada
7+ years of software engineering experience, with demonstrated full-stack capabilities using Python and TypeScript to build backend services and user-facing applications, plus working…
Added 2 days ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Added 2 days ago
Pricing & Monetization Associate
MongoDB
Toronto, ON
This role is a hybrid / in-office role, with approximately three days per week in our New York City Office
Added 2 days ago
BC
Forward Deployed AI Engineer, Canada - BCG X
Boston Consulting Group
Toronto, ON · Montreal, QC
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 2 days ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
Monday - Friday 8am-5pm, with an hour for lunch
Added 2 days ago
H
Business Sustainment Production Engineer
HSBC
Toronto, ON
- Full-time
In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in Canada. Applicants must be legally authorized to work in Canada as HSBC will not…
Added 2 days ago
GC
Senior Software Engineer
Game Companies
Vancouver, BC
- Full-time
We are seeking an experienced Senior Software Engineer to join our Service Enablement organization as a technical leader and change-maker. In this role, you will lead a team of software…
Added 2 days ago
BX
Forward Deployed AI Engineer, Canada - BCG X
BCG X
Toronto, ON
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 2 days ago
BX
Forward Deployed AI Engineer, Canada - BCG X
BCG X
Montreal, QC
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 2 days ago
B
Founding Engineer
Bench
Remote, Canada
- $180,000 to $270,000 CAD / year
- Full-time
- Remote
We're starting with contracted operations that run on heavy labor and tight margins: transit, mining, utilities and facilities. They generate more data than ever, yet still run on…
Added 2 days ago
GM
Senior Computer Vision Engineer
Gazer Monitoring
Mississauga, ON
- $80,000 to $120,000 CAD / year
- Full-time
…commercial and industrial properties. We combine video analytics with trained monitoring operators to verify activity, respond to security events and support day-to-day site operations.We…
Added 2 days ago
Business Sustainment Production Engineer
HSBC Global Services Limited
Toronto, ON
In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in Canada. Applicants must be legally authorized to work in Canada as HSBC will not…
Added 2 days ago
AS
Software Engineer
AgileGrid Solutions
Canada
- Full-time
IBM is seeking an engineer to strengthen the incident management foundation supporting Confluent Cloud. This role combines hands-on ownership of operational tools with incident data…
Added 2 days ago
MM
IT Support Engineer
Monarch Money
Remote, Canada
- Full-time
- Remote
Familiarity with lightweight scripting (Bash, Python, etc.) or exposure to APIs and integrations
Added 2 days ago
T
Sr. Backend Engineer - Node.JS
Telna
ON · Ontario, Canada
- Full-time
Experience with Python, Go or Java alongside Node.js.
Added 2 days ago
K
Software Engineer - DevOps - Bitnomial
Kraken
Canada
- Full-time
Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities…
Added 2 days ago
C
Senior Backend Engineer, LLM Systems
CleverConsult
Canada
- Full-time
You must be based in Canada
Added 2 days ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
…production rollout, and ongoing operations. The role calls for an engineer who can make sound decisions about reliability, scalability, performance, security, and operability, while working…
Added 2 days ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a FullStack Engineer as we expand our impact with new customers. This posting supports the position to start between November 2026 and February 2027.
Added 2 days ago
TC
Kafka Engineer
Tata Consultancy Services
Montreal, QC
- $100,000 to $110,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 2 days ago
A
FPGA Design Engineer
Actalent
Ottawa, ON · Nepean, ON
- $65 to $85 CAD / hour
- Full-time
You will work with Xilinx devices, SystemVerilog, and Cadence simulation tools to implement, verify, and refine FPGA logic, combining reuse of existing modules with targeted development…
Added 2 days ago
TC
Security Research Engineer
Tata Consultancy Services
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 2 days ago
TC
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Must Have Technical/Functional Skills
Added 2 days ago
P
Software Developer
Priceline
Toronto, ON
- Full-time
· Hands-on experience with one or more of Elixir, Go, JavaScript, Python, Java or C#.

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
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 · French
Posted: Oct 20, 2026

Original job description

English section of this bilingual listing.

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
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

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 / Transparence Salariale

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 Annual. 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. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $120,000 et $176,000 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

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

Intégration en présentiel et vérification d’identité

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

Read the full bilingual original

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 / En savoir plus

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!

À propos d’Autodesk

Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.

Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.

En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !

Salary transparency / Transparence Salariale

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 Annual. 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. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $120,000 et $176,000 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

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

Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

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

Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.

Apply on LinkedIn About employer

More about this job

Responsibilities

Architect and operate scalable batch and streaming data pipelines and AI-ready data products that support analytics, machine learning, retrieval, and agentic workflows. Partner across product, engineering, data science, research, and design to improve behavioral data, data quality, governance, self-service analytics, and technical standards.

Requirements

Requires 10 or more years of experience in data engineering, data platforms, distributed systems, or related roles, with production systems ownership and hands-on expertise in Python, Spark/PySpark, SQL, streaming technologies, and AWS. Candidates should also have experience with LLM and RAG systems, reliable ETL/ELT pipelines, modern data platforms, governance, and leading cross-functional technical initiatives.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Batch and Streaming Pipelines
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Kafka
Flink
AWS
Data Governance
Cross-Functional Technical Leadership

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platform Engineering
Distributed Systems
Python
Spark
PySpark
SQL
Batch Processing
Streaming Data
Kafka
Flink
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Engineering
Feature Stores
Data Quality
Data Observability
ETL/ELT
AWS
EMR
Glue
S3
Snowflake
Redshift
Iceberg
dbt
Product Telemetry

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Work requirements

Jobs in Canada