Senior Data Engineering
Toronto, ON, CAN
- Pay
$100,000–146,300/year · BaseAnnual period assumed · Location-specific pay — pay source
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
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in computer science, information systems, or a related discipline
- Experience working with Git
- 5+ years in the Data Engineer role
- Experience working with big data stack environment, like, Hive, Spark and Presto
Preferred experience
- Experience working with remote teams spread across multiple time-zones
Qualification wording
Bachelor's degree in computer science, information systems, or a related discipline
Experience working with Git
5+ years in the Data Engineer role
Experience working with big data stack environment, like, Hive, Spark and Presto
Experience working with remote teams spread across multiple time-zones
Tools in this posting
- Python
- SQL
- dbt
- S3
- Snowflake
- AWS
- Power BI
- Airflow
Source — Tool mentions in context
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
- 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
- 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.
- Snowflake - DBT - Airflow
- Basic understanding of Power BI - AWS environment, for example S3, Lambda, Glue, Cloud watch - Experience working with remote teams spread across multiple time-zones
Preferred Qualifications - Snowflake - DBT
- CI/CD (Jenkins) - Basic understanding of Power BI - AWS environment, for example S3, Lambda, Glue, Cloud watch
- DBT - Airflow - CI/CD (Jenkins)
About Autodesk
We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
In the employer’s words · Read in context
Job description
Job Requisition ID #
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on autodesk.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Toronto, ON, CAN
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 1, 2026
- Recorded sightings
- 25
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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