Senior Data Engineer: AI-Driven Big Data Pipelines in Toronto

Senior Data Engineer: AI-Driven Big Data Pipelines in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and optimize large-scale data pipelines using cutting-edge technologies.
  • Company: Join Autodesk, a leader in innovative design software.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on reliability and performance.
  • Why this job: Make a real impact on AI-driven engineering workflows and product analytics.
  • Qualifications: Experience with Python, SQL, and big data technologies required.

The predicted salary is between 121500 - 148500 $ per year.

Autodesk is seeking a Senior Data Engineer for our Compliance team to design, build, and optimize large-scale data pipelines and analytics.

You will work with Python, SQL, Spark, Airflow, Hive, Snowflake, and AWS to enable scalable, compliant data processing and AI-assisted engineering workflows.

The role focuses on reliability, performance, and cost efficiency across batch and near real-time processing, with opportunities to impact product usage analytics and governance reporting.

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Senior Data Engineer: AI-Driven Big Data Pipelines in Toronto employer: Autodesk

Autodesk is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid or remote work options for the AI Compute Strategy Specialist role. Employees benefit from continuous growth opportunities through collaboration with innovative teams, while contributing to impactful projects in the AI space. With a focus on analytics and financial forecasting, Autodesk empowers its workforce to drive meaningful change in various sectors, making it a rewarding place to advance your career.

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Contact Details:

Autodesk Recruitment Team

We think you need these skills to ace Senior Data Engineer: AI-Driven Big Data Pipelines in Toronto

Python
Data Engineering
Data Pipeline Development
Problem-Solving Skills
SQL
Communication Skills
ETL/ELT Processes