Senior Software Developer – Data Delivery

Autodesk

Senior Software Developer in Autodesk's Data Delivery group to build scalable data products. Collaborating to deliver data pipelines and analytics solutions for the construction industry.

Posted 6/30/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$107,000 - CA$157,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating scalable data pipelines, with a strong focus on data modeling, architecture, and storage technologies. Proven ability to implement production-quality code and mentor engineering teams to enhance data product quality and reliability.

Highest-signal resume keywords

Data Engineering ExperienceData Pipeline DevelopmentProgramming in PythonSQL Query OptimizationData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ArchitectureData Storage TechnologiesData Transformation WorkflowsProduction-Quality Code ImplementationObservability for Data Systems

Soft Skills

CollaborationMentoring

Tools & Technologies

PythonJavaKotlinScalaTypeScriptGo

Industry Keywords

Data PipelinesAnalytics-Ready DatasetsAI-Ready DatasetsEngineering StandardsData Products

Tech Stack

Tools & technologies

GoJavaKotlinPythonScalaSQLTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Annual cash bonuses
Stock grants
Comprehensive benefits package