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Embedded C/C++ SW Developer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Position: Embedded C/C++ SW Developer Co-op/Intern
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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 10 days ago
TC
Site Reliability Engineer
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- Full-time
We’re looking for a Site Reliability Engineer who can closely work with Arch/Design/Business team, including Developer testing, performance, good visibility of what is happening within the…
Added 10 days ago
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Software Engineer, Test
Providius
Hamilton, ON
- $60,000 to $80,000 CAD / year
- Full-time
This is a hands-on engineering role for someone who enjoys writing code, building automation, investigating failures, and learning how complex software systems behave.
Added 10 days ago
TC
Analyst
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer…
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Data Platform Engineer
AgileGrid Solutions
Canada
- Full-time
McKesson is seeking a Lead Data Platform Engineer to define and drive the future of our enterprise data ecosystem. This highly visible technical leadership position involves establishing…
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Python & SQL Developer - Montreal, QC - 3 Days Onsite per Week Mandatory
United Software Group Inc
Montreal, QC
- Contract
We are seeking a Python & SQL Developer with 5-8 years of experience in designing, developing, and supporting data-driven applications and solutions. The ideal candidate will have strong…
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Forward Deployed Engineer (Toronto)
LumApps
Toronto, ON
- Full-time
…they lack context and cannot securely access siloed enterprise data like ERPs, HRIS, or legacy…
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Software Engineer
Insight Global
Toronto, ON
- $55 to $62 CAD / hour
- Contract
Our client is seeking a Software Engineer. The ideal candidate is a hands-on developer with strong Python expertise, experience working with Databricks and Retrieval-Augmented Generation…
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Applied AI Engineer
Astek
Montreal, QC
- Full-time
3 to 5 years of software engineering experience
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Full Stack AI Practice Lead
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…Snowflake and Databricks. As part of our vision to deepen our data expertise, Ateko has acquired SDK Tek, a highly respected Calgary based data engineering and analytics integrator. This…
Added 10 days ago
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Principal Lead AI Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Lead AI Developer within the Commercial and 1859 team at National Bank means acting as a specialist in the development of advanced technology solutions. In this role, you will…
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Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
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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.…
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GenAI Technical Lead
Tata Consultancy Services
Open Hall, NL
- Full-time
Lead Python-based development efforts for building prompt orchestration, tool agents, and data pipelines.
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Senior Business Systems Analyst (Hybrid)
Cognizant
Toronto, ON
- Full-time
Collaborate with engineering, security, and architecture teams to identify solution gaps, recommend improvements, and support system integration initiatives.
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Analytics Intern
Orennia
Calgary, AB
- Volunteer
Orennia provides an all-in-one platform for accurate data, predictive analytics and actionable insights across the energy transition. We drive faster capital allocation decisions and help…
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Senior Observability Analyst
Ontario Power Generation
Oshawa, ON
- Full-time
Education Level: Bachelor’s degree in computer science, IT, Engineering or a related field or by having the equivalent level of education.
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TD Asset Management Portfolio Analytics Developer Intern/Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
We are seeking a Full Stack Developer to join us in the Portfolio Research & Analytics team to build cutting-edge portfolio management applications using technologies such as Python,…
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AI Software Engineer
TrustFlight
Vancouver, BC
- Full-time
Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related field, or equivalent practical experience.
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Senior Data Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
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,…
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Software Developer I
ForeFlight
Montreal, QC
- Full-time
Software Developer Hybrid from our downtown Montreal office
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Senior AI Engineer
Perceptic
Engineer, BC
- Full-time
Our stack is React and TypeScript on the front end, Java and Python services behind it, and an agent layer built on durable, fault-tolerant workflows that reason over scientific data…
Added 10 days ago
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Data Engineer (12 Month Contract)
REW
Vancouver, BC
- Contract
Minimum of one year of professional experience with data engineering/analysis and big data tech stacks
Added 10 days ago
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Cloud Engineer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…platforms, DevOps automation, Infrastructure-as-Code, and AI-powered engineering tools. You will gain significant exposure to AWS and Google Cloud Platform, CI/CD pipelines, cloud…

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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