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Added 17 mins ago
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Added 11 hours ago
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Autodesk

Senior Data Engineering

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

Pay: For Canada based roles, we expect a starting base salary between $100,000 and $146,300.
Job type: Full-time
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Requisition ID #

26WD101237

Position Overview
We are looking for an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing systems, as well as optimizing data flow and collection for cross functional teams. The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve analytics. The focus of your work will be engineering new pipelines and maintaining, creating frameworks, enhancing existing data pipeline with new features to ensure accurate data delivery to stakeholders in a timely manner, also support ad-hoc reporting requirements that facilitate data-driven actionable insights and decision making at Autodesk.

Responsibilities

Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources into Snowflake or Hive warehouses using Python, SQL, DBT, other data technologies
Design, implement, test and maintain data pipelines/ new features based on stakeholders’ requirements
Develop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analysts
Optimize/ maintain workflows/ scripts on present data warehouses and present ETL 
Design / develop / maintain components of data processing frameworks
Basic Knowledge of using LLMs and using AI tools like Co-pilot for development purposes
Build and maintain data quality and durability tracking mechanisms in order to provide visibility into and address inevitable disruptions in data ingestion, processing, and storage 
Translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Focus on automation use cases, CI/CD approaches and self-service modules relevant for data domains
Address questions and concerns from downstream data consumers through appropriate channels
Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader 
Stay up to date with data engineering best practices, patterns, evaluate and analyze new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting, extending, or replacing our own core technologies to stay ahead of the industry
Contribute to Analytics engineering process

Minimum Qualifications

Bachelor's degree in computer science, information systems, or a related discipline 
5+ years in the Data Engineer role
Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management 
Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios
Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
Have experience with workflow management solutions like Airflow
Have experience on Data transformation tools like DBT
Basic understanding of how to use LLMs for data engineering purposes and tools like GitHub, Copilot, etc.
Experience working with Git
Experience working with big data stack environment, like, Hive, Spark and Presto
Strong analytical, problem solving and interpersonal skills
Familiar with Scrum
Ready to work flexible European hours

Preferred Qualifications 

Snowflake 
DBT 
Airflow
CI/CD (Jenkins) 
Basic understanding of Power BI
AWS environment, for example S3, Lambda, Glue, Cloud watch
Experience working with remote teams spread across multiple time-zones
Strong organizational skills and attention to detail
Have a hunger to learn and the ability to operate in a self-guided manner

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 $100,000 and $146,300. 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

You will design, maintain, and optimize scalable data pipelines and processing frameworks to ensure accurate data delivery for enterprise analytics. Additionally, you will collaborate with cross-functional teams to provide actionable insights and support data-driven decision-making through automated and self-service tools.

Requirements

Candidates must hold a bachelor's degree in a relevant discipline and possess at least 5 years of experience in data engineering. Proficiency in Snowflake, Python, SQL, and workflow management tools like Airflow is required, along with strong analytical and problem-solving skills.

Skills

Data Engineering
Python
SQL
Snowflake
DBT
Airflow
Data Pipelines
ETL
Big Data
Hive
Spark
Presto
CI/CD
Git
LLMs
Data Quality

Benefits

Annual cash bonuses
Commissions
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Python
SQL
DBT
Airflow
ETL
Data Pipelines
Hive
Spark
Presto
CI/CD
Git
LLMs
GitHub Copilot
Data Quality
Automation
Analytics
Big Data
Scrum
AWS
S3
Lambda
Glue
Power BI
Data Warehousing
Metadata
Data Transformation
Cloud Computing
Software Engineering

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