
10,000+ employees
Founded 1982
🏗️ Construction
🏭 Manufacturing
💼 Consulting
Construction • Manufacturing • Consulting
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
🕒 June 30
🇨🇦 Canada – Remote
💵 $107k - $157.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 14%
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10,000+ employees
Founded 1982
🏗️ Construction
🏭 Manufacturing
💼 Consulting
Construction • Manufacturing • Consulting
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
• Design, build, test, and operate scalable data pipelines • Develop and maintain analytics-ready and AI-ready datasets • Contribute to technical designs for data-intensive systems • Implement production-quality code and infrastructure changes • Improve the quality, reliability, and scalability of data products • Collaborate with product owners, engineering managers, architects, and peer engineers • Improve team engineering standards and practices • Mentor less-experienced engineers
• 5+ years of professional data engineering experience • Strong hands-on experience designing, developing, and operating production data pipelines • Proficiency with data modeling, data architecture, data storage technologies, and transformation workflows • Strong programming skills in one or more backend/data engineering languages such as Python, Java, Kotlin, Scala, TypeScript, or Go • Practical experience with SQL and query optimization • Good understanding of observability for data systems
• Annual cash bonuses • Stock grants • Comprehensive benefits package
Apply Now🕒 June 30
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