Autodesk

Autodesk

Senior Data Engineering

Toronto, ON, CAN · Senior

Sponsorship not specifiedDetected 21 days ago
PythonData StructuresGitSQLSnowflakeAWSCI/CDJenkinsSparkAirflowdbtData EngineeringData VisualizationLLMsAgileProblem SolvingOrganizational Skills

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odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 86%

Of 29 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-04-10, this employer stated it had laid off workers in Business Intelligence Analysts (CA) during the preceding six months. 2 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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

Responsibilities

  • 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
  • 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
  • Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader

Requirements

  • Bachelor's degree in computer science, information systems, or a related discipline
  • 5+ years in the Data Engineer role
  • Experience working with Git
  • Experience working with big data stack environment, like, Hive, Spark and Presto
  • Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe.
  • Must have worked on Snowflake Cost optimization scenarios
  • Have experience with workflow management solutions like Airflow

Nice to have

  • Basic understanding of Power BI
  • AWS environment, for example S3, Lambda, Glue, Cloud watch
  • Strong organizational skills and attention to detail
  • Have a hunger to learn and the ability to operate in a self-guided manner
  • 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.
  • Ready to shape the world and your future?

Skills

  • Job Requisition ID #
  • Position Overview

Compensation

  • Salary transparency

Company info

  • We take great pride in our culture here at Autodesk - it's at the core of everything we do.
  • 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
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This listing is sourced directly from Autodesk's careers page and normalized into a canonical job model.