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Added 9 days ago
TT
Data and AI Lead, Development and Governance
Tundra Technical Solutions
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
Position Data and AI Lead, Development and Governance (Senior AI & Automation Developer)
Added 9 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 9 days ago
SM
RQ11601 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are looking for an experienced Systems Testing/QA Specialist – Senior to support the Ministry of Public and Business Service Delivery and Procurement. The ideal candidate will have…
Added 9 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Manager, Credit Modeling & Strategy. Could it be you?
Added 9 days ago
C
Sr. Manager, Application Development
CIBC
Toronto, ON
- Full-time
You can demonstrate experience: as a hands-on Senior Development Manager, leading a team building Innovative solutions, utilizing cutting edge technologies. Ideally, you are adept at Design…
Added 9 days ago
C
Senior Optical Engineer
Ciena
Ottawa, ON
- $94,100 to $150,300 CAD / year
- Full-time
As a senior technical contributor on the Optical Systems Performance (OSP) Team, the Optical Systems Engineer advances end-to-end optical fiber sensing architectures and system designs…
Added 9 days ago
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Senior Manager, Counterparty Credit Risk Analytics
BMO
Toronto, ON · YNG
- Full-time
The Senior Manager, CCR Analytics leads a team in the design, implementation, and oversight of counterparty credit risk measurement and analytics. The role focuses on delivering robust…
Added 9 days ago
J
Senior Data Engineer
JLL
Toronto, ON · Canada Home Office - ON
- Full-time
As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives.…
Added 9 days ago
Senior Technical Artist (Character Technology) - EA SPORTS Technology
Electronic Arts
Vancouver, BC
The Senior Technical Artist (Sr. TA) develops pipelines, workflows, and technology innovations used by content creators across all of EA SPORTS. As part of a central team of Technical…
Added 9 days ago
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Senior Software Developer in Test
QNX
Ottawa, ON
- Full-time
The QNX Service PSP Test Team is seeking an experienced and highly motivated Software Developer in Test to help validate and deliver next-generation QNX software technologies. This is an…
Added 9 days ago
L
Forward Deployed Engineer (Toronto)
LumApps
Toronto, ON
- Full-time
…rare opportunity to accelerate your career by working with senior leadership and opening doors toward future roles as an architect, tech lead, or product…
Added 9 days ago
AB
Full Stack AI Practice Lead
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You’ll collaborate with AI, data, cloud and software experts under the leadership of the Senior Vice President, Data & Cloud. No ego, just smart people solving complex problems together in…
Added 9 days ago
NB
Senior Developer AI Engineering
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Engineering Developer on the AI Factory team at National Bank means playing a key role in the end-to-end development of artificial intelligence applications.…
Added 9 days ago
C
Senior Business Systems Analyst (Hybrid)
Cognizant
Toronto, ON
- Full-time
As a Senior Business Systems Analyst, you will make an impact by bridging business needs and technology solutions within customer identity and access management (CIAM) and digital…
Added 9 days ago
OP
Senior Observability Analyst
Ontario Power Generation
Oshawa, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Senior Observability Analyst.
Added 9 days ago
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Senior Technical Animator - [March of Giants]
Ubisoft
Montreal, QC
- Full-time
As a Senior Technical Animator on March of Giants at Ubisoft Montreal, you will support, improve, and innovate animation systems used in game production. You will work closely with…
Added 9 days ago
T
AI Software Engineer
TrustFlight
Vancouver, BC
- Full-time
Strong proficiency in Python and JavaScript/TypeScript, with the ability to deliver full-stack changes across backend services, web applications, and Python-based systems.
Added 9 days ago
A
Senior Data Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- 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 9 days ago
AH
Senior Financial Analyst
Alberta Health Services
AB · Greater Edmonton Metropolitan Area
- Full-time
…utilization, workload, financial, supply, drug, and costing data. The Senior Financial Analyst performs complex and multidimensional work related to the preparation, analysis, validation,…
Added 9 days ago
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Senior AI Engineer
Perceptic
Engineer, BC
- Full-time
We are hiring Senior AI Engineers who have shipped real AI product experiences. We mean people who have built AI products, broken them in production, fixed them, and shipped them to users…
Added 9 days ago
Embedded Software Developer
Chemelex
Edmonton, AB
We're looking for a talented Embedded Software Developer to join our team!
Added 9 days ago
Senior Software Developer
Chemelex
Edmonton, AB
We are seeking a talented and experienced software developer with six (6) or more years of professional programming experience and an interest in transitioning into Rust development. While…
Added 9 days ago
V
Junior Integration Specialist / Spécialiste en intégration junior
Vention
Montreal, QC
- Full-time
Program and validate automation systems using Vention's MachineMotion controller, MachineLogic software, and client-specific logic (Python), with support from senior team members.
Added 9 days ago
ES
Senior Software Architect
Euna Solutions
ON · Oakville, Ontario
- Full-time
Euna Solutions is building scalable, secure SaaS platforms that power how government agencies operate, and the Senior Software Architect is central to getting that right. You will own the…
Added 9 days ago
PC
Valuations Financial Instruments, Senior Manager
PwC Canada
Toronto, ON
- Full-time
As a Valuations Financial Instruments, Senior Manager, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high-quality client service and…

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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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.

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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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