Publié hier
Data Engineer
@ Autodesk
Toronto, Ontario
En bref
Autodesk is hiring a Senior Data Engineer for its Compliance team to build scalable data pipelines that detect non-compliant use of Autodesk software. The role involves large-scale batch and near-real-time processing with Spark and Airflow, using AI-assisted development tools, and it requires 4-7 years of data engineering experience. Canada-based base salary is stated as $88,000 to $128,700 per year.
Salaire :
88 000 $–128 700 $ par année
Responsabilités :
- Concevoir et optimiser des pipelines de données à grande échelle avec Spark
- Construire des pipelines ETL/ELT traitant des milliards d'enregistrements
- Orchestrer les flux de données avec Apache Airflow
- Automatiser les tâches grâce aux outils de développement assistés par IA
- Collaborer avec les équipes produit et analytique
Résumé des exigences :
- 4 à 7 ans d'expérience en ingénierie des données
- 3+ ans avec Apache Spark, PySpark et Spark SQL
- 3+ ans de programmation Python et SQL
- Expérience avec AWS (S3, EMR, Glue)
- Expérience avec des outils de codage assistés par IA
- Baccalauréat en informatique ou domaine connexe, ou expérience équivalente
Outils et compétences
Source et dates
Type de source non vérifié · eightfold
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-11-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Formation | Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Engineering |
| Avantages mentionnés | Prime de rendement, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Autodesk
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Designers, engineers, builders, and creators trust Autodesk to help them design and make a better world. #MakeAnything
Description complète de l’entreprise
Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all. Over 100 million people use Autodesk software, like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more, to unlock their creativity and solve important design, business, and environmental challenges. Our software runs on both personal computers and mobile devices. It taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate, and fabricate their ideas in 3D. We provide exceptional compensation and benefit packages, and we’d love for you to join us. We’re proud to be an equal opportunity employer, and we consider all qualified applicants without regard to race, gender, disability, veteran status, or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have over 10,000 employees worldwide.
- Abonnés LinkedIn
- 1 019 333
- Personnes associées sur LinkedIn
- 15 701
- Bureaux déclarés
- Market St, San Francisco, CA 94105, US
- Via Tortona, 37, Milano, Lombardia 20144, IT
- Catégories d’activité
- Software Engineering
- Construction
- Information Technology
- Digital Entertainment
- Consulting
- Software
- IT Management
- 3D Technology
- Architecture
- Mobile
- Manufacturing
- iOS
- Autres noms enregistrés
- Autodesk
- Spécialités
- 3D Design Software and Technology
- Digital Prototyping
- Sustainable Design Software
- Media & Entertainment
- Consumer Software
- PLM
- Cloud
- and Mobile
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 500 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all. Over 100…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 10,001+ employees |
| Siège social | San Francisco, CA |
| Type d’organisation | Public Company |
| Fondée en | 1982 |
| Spécialités | 3D Design Software and TechnologyDigital PrototypingSustainable Design SoftwareMedia & EntertainmentConsumer SoftwarePLMCloudand Mobile |
| Offres sur Jobsy | 88 |
| Voir la page |
Job Requisition ID #
26WD101542Position Overview
Autodesk is looking for a skilled and innovative Senior Data Engineer to join our Compliance team, which builds data-driven systems to detect and address non-compliant usage of Autodesk software. This is a key strategic initiative that leverages large-scale data processing and analytics to drive business impact.
In this role, you will design, build, and optimize scalable data pipelines and distributed processing systems that handle billions of records. You will focus on improving platform reliability, performance, scalability, and operational efficiency while enabling business-critical analytics.
We are looking for an engineer who combines strong expertise in big data technologies with hands-on experience using AI-powered development tools to accelerate engineering workflows, improve code quality, and deliver solutions faster.
The ideal candidate is technically strong, self-driven, comfortable owning complex engineering initiatives, and passionate about leveraging modern technologies and AI-assisted development practices to solve challenging data engineering problems.
Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions.
Responsibilities
- Leverage AI-powered development tools to accelerate coding, debugging, refactoring, test generation, documentation, and troubleshooting of complex data engineering solutions
- Integrate AI-assisted development practices into engineering workflows to improve productivity, code quality, and delivery speed
- Evaluate and validate AI-generated solutions for correctness, performance, maintainability, and security while following responsible AI practices
- Identify opportunities to automate repetitive engineering tasks and improve developer efficiency through AI-powered solutions
- Design, develop, and optimize large-scale batch and near-real-time data processing pipelines using Apache Spark, PySpark, and Spark SQL
- Build scalable and efficient ETL/ELT pipelines capable of processing billions of records across distributed data platforms
- Optimize distributed processing workloads through partitioning, efficient joins, query tuning, resource management, and performance analysis
- Develop and maintain data processing solutions using technologies such as Hive, Snowflake, AWS S3, EMR, and Glue
- Build and maintain production-grade data workflows using Apache Airflow, including DAG development, scheduling, dependency management, retries, and failure recovery
- Implement data quality checks, pipeline monitoring, observability, and alerting to ensure reliable data processing
- Design reusable, modular, and fault-tolerant pipelines supporting incremental processing, backfills, and operational scalability
- Troubleshoot production issues and continuously improve pipeline reliability, performance, and cost efficiency
- Develop and maintain scalable, cloud-native data infrastructure on AWS
- Automate infrastructure provisioning, deployments, and operational processes using Infrastructure as Code and CI/CD practices
- Implement automated testing, version control, code reviews, and software engineering best practices
- Own the end-to-end delivery of data engineering solutions, from technical design and implementation to deployment and production support
- Partner with product managers, data scientists, analysts, and business stakeholders to translate business requirements into scalable technical solutions
- Design efficient data models and curated datasets to support compliance detection, product usage analytics, and business reporting
- Define and promote data engineering standards, reusable frameworks, and architectural best practices
- Communicate technical designs, trade-offs, and engineering outcomes effectively to stakeholders
Minimum Qualifications
- 4–7 years of relevant experience in data engineering, big data systems, or software engineering, building and operating production-grade data platforms
- 3+ years of hands-on experience with Apache Spark, including PySpark, Spark SQL, and DataFrame APIs
- 3+ years of strong programming experience in Python and SQL, with demonstrated ability to write clean, modular, maintainable, and testable code
- Strong understanding of distributed computing fundamentals, including parallel processing, partitioning, shuffling, data skew, fault tolerance, and Spark performance tuning
- Hands-on experience with Apache Airflow for building, scheduling, and orchestrating complex data pipelines
- Strong knowledge of ETL/ELT design patterns, data modeling, SQL optimization, and large-scale data processing architectures
- Practical experience using AI-powered coding tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions in day-to-day software or data engineering development
- Ability to effectively use AI tools for code generation, debugging, refactoring, testing, and accelerating engineering problem-solving
- Understanding of AI-assisted development best practices, including prompt formulation, code validation, secure usage, and identifying limitations of AI-generated solutions
- Experience with AWS data services such as S3, EMR, Glue, or equivalent cloud-based data processing platforms
- Working knowledge of analytical data platforms such as Snowflake, Hive, or Presto/Trino
- Experience with Git, CI/CD pipelines, and automation tools such as Jenkins
- Familiarity with data quality frameworks, pipeline observability, production monitoring, and troubleshooting
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Preferred Qualifications
- Experience with modern data lake or lakehouse architectures, including Apache Iceberg, Delta Lake, or Apache Hudi
- Familiarity with streaming data processing technologies such as Apache Kafka or Spark Structured Streaming
- Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
- Experience developing reusable data engineering frameworks, libraries, or internal developer productivity tools
- Familiarity with LLM APIs, AI agents, or AI-powered workflow automation applied to software or data engineering
- Experience with BI and analytics platforms such as Power BI or Looker
- Demonstrated experience improving engineering efficiency, pipeline performance, or cloud infrastructure costs through automation and optimization
Learn More / En savoir plus
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!
À propos d’Autodesk
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.
Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.
En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
Salary transparency / Transparence Salariale
Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $88,000 and $128,700 Annual. 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. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $88,000 et $128,700 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.Belonging / appurtenance
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
Intégration en présentiel et vérification d’identité
This role may require in-person onboarding and/or in-person ID verification.
Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.
Journal
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