Senior Software Developer (Data & Backend Development)

Autodesk

Toronto

On-site

CAD 107,000 - 157,000

Full time

14 days+
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Job summary

Autodesk in Toronto, Canada, is seeking a Senior Software Developer (Data & Backend) to build scalable ETL data pipelines and APIs. You will collaborate across product and infrastructure teams to ensure data is accessible, reliable, and well‑structured for reporting.

You will work with Python, Java/Scala, Airflow, Snowflake, Hive, MySQL, Kafka, and AWS to design and optimize data processes, RESTful services, and tests. Strong background in big data, cloud, and open‑source practices is required.

Qualifications

  • 7+ years of software development experience
  • 2+ years of experience in big data technologies (Airflow, EMR/Spark, Snowflake, Hadoop/Hive)
  • Experience with data streaming (Kinesis/Kafka)
  • Proficiency in Python and Java/Scala
  • Experience building RESTful APIs and microservices
  • Experience with relational databases (MySQL, PostgreSQL)
  • Cloud technologies (AWS, S3/EBS, Lambda, EKS, CloudWatch)
  • Familiarity with observability platforms (Splunk, Datadog)
  • Knowledge of design patterns and multi‑platform methodologies
  • Experience with Agile and Open Source practices
  • Excellent debugging skills

Responsibilities

  • Develop data pipelines to extract, transform, and load data from multiple sources into a centralized data repository
  • Improve and refine data pipelines for efficiency, reliability, and scalability
  • Monitor and troubleshoot data pipeline issues and ensure data integrity
  • Develop RESTful APIs & microservices to support multiple operations
  • Follow best practices for security, scaling, cost effectiveness and testing
  • Create unit and integration tests
  • Contribute to documentation on API usage
  • Identify performance bottlenecks and improve code and databases
  • Collaborate with engineers and cross‑functional teams to deliver data insights
  • Improve data processing and query performance for analytics
  • Perform code review and provide constructive feedback
  • Stay up to date with data engineering technologies and best practices
  • Propose new technologies to improve data engineering

Skills

Python
Java/Scala
RESTful APIs
Big data
AWS
Data pipelines
SQL

Education

Bachelor's in Computer Science or equivalent

Tools

Airflow
Snowflake
Hive
MySQL
PostgreSQL
Kinesis
Kafka
AWS

Job description

Job Requisition ID #

26WD99219

26WD99219, Senior Software Developer (Data & Backend Development)

French translation to follow!/Traduction française à suivre!

Position Overview

The reporting team is looking for an experienced Sr. Software Developer. You will be reporting to the Engineering Manager of Reporting Team. You will develop software solutions for complex ETL data pipelines and scalable APIs. You will work with Product Managers, Infrastructure, Business Operations, Quality Assurance and other team members to ensure that data is accessible, reliable, and well-structured for reporting.

Responsibilities
Data Pipeline Development
  • Develop data pipelines to extract, transform, and load (ETL) data from multiple sources into a centralized data repository
  • Improve and refine data pipelines for efficiency, reliability, and scalability
  • Monitor and troubleshoot data pipeline issues and ensure data integrity
  • We use Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka and AWS (Amazon Web Services)
API Development
  • Develop RESTful APIs & microservices to support multiple operations
  • Follow best practices for security, scaling, cost effectiveness and testing
  • Create unit and integration tests
  • Contribute to documentation on use of the APIs
Problem Solving
  • Resolve technical issues and bugs in applications
  • Identify performance bottlenecks and improve code and databases
Team Collaboration
  • Collaborate with engineers, analysts, cross-functional teams and partners to understand data requirements and deliver relevant insights
Performance Optimization
  • Improve data processing and query performance for data retrieval and analytics
  • Code Review and Documentation: Perform code review and provide constructive feedback within ethical boundaries
Test and Quality Assurance
  • Stay up to date with the latest data engineering technologies, and best practices
  • Recommend new technologies for data engineering improvements
Security and Compliance
  • Ensure data security by implementing access controls, encryption, and comply with data privacy regulations
Minimum Qualifications
  • 7+ years of software development experience at multiple capacities
  • 2+ years of experience in big data technologies (we use Airflow, EMR/Spark, Snowflake, Hadoop/Hive)
  • Experience with data streaming (we use Kinesis/Kafka)
  • Proficiency in programming languages (we use Python, Java/Scala)
  • Experience building RESTful APIs and microservices
  • Experience with relational databases (we use MySQL, PostgreSQL)
  • Background on cloud technologies. (we use AWS, S3/EBS, Lambda, EKS, CloudWatch)
  • Familiarity with observability platforms (we use Splunk, Datadog)
  • Have sound knowledge of design patterns and methodologies across multiple platforms
  • Knowledge and support of modern development practices, such as Agile and Open-Source technologies
  • Excellent debugging skills
Preferred Qualifications
  • Bachelor’s in computer science or equivalent
  • Certifications (optional)
  • AWS Certified Developer - Associate
Responsabilités
Développement de pipelines de données
  • Développer des pipelines de données pour extraire, transformer et charger (ETL) des données provenant de multiples sources vers un référentiel de données centralisé
  • Améliorer et affiner les pipelines de données pour en optimiser l’efficacité, la fiabilité et l’évolutivité
  • Surveiller et résoudre les problèmes liés aux pipelines de données et garantir l’intégrité des données
  • Nous utilisons Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka et AWS (Amazon Web Services)
Développement d’API
  • Développer des API RESTful et des microservices pour prendre en charge de multiples opérations
  • Respecter les meilleures pratiques en matière de sécurité, d’évolutivité, de rentabilité et de tests
  • Créer des tests unitaires et d’intégration
  • Contribuer à la documentation relative à l’utilisation des API
Résolution de problèmes
  • Résoudre les problèmes techniques et les bugs dans les applications
  • Identifier les goulots d’étranglement en termes de performances et améliorer le code et les bases de données
Collaboration au sein de l’équipe
  • Collaborer avec les ingénieurs, les analystes, les équipes interfonctionnelles et les partenaires pour comprendre les besoins en matière de données et fournir des informations pertinentes
Optimisation des performances
  • Améliorer les performances de traitement et de requête des données pour la récupération et l’analyse
  • Révision du code et documentation : Effectuer la révision du code et fournir des commentaires constructifs dans le respect des limites éthiques
Tests et assurance qualité
  • Se tenir au courant des dernières technologies d’ingénierie des données et des meilleures pratiques
  • Recommander de nouvelles technologies pour améliorer l’ingénierie des données
Security and compliance
  • Garantir la sécurité des données en mettant en œuvre des contrôles d’accès et le chiffrement, et se conformer aux réglementations en matière de confidentialité des données
Qualifications minimales
  • Plus de 7 ans d’expérience en développement logiciel à divers postes
  • Plus de 2 ans d’expérience dans les technologies Big Data (nous utilisons Airflow, EMR/Spark, Snowflake, Hadoop/Hive)
  • Expérience en streaming de données (nous utilisons Kinesis/Kafka)
  • Maîtrise des langages de programmation (nous utilisons Python, Java/Scala)
  • Expérience dans la création d’API RESTful et de microservices
  • Expérience avec les bases de données relationnelles (nous utilisons MySQL, PostgreSQL)
  • Connaissances en technologies cloud (nous utilisons AWS, S3/EBS, Lambda, EKS, CloudWatch)
  • Connaissance des plateformes d’observabilité (nous utilisons Splunk, Datadog)
  • Solides connaissances des modèles de conception et des méthodologies sur plusieurs plateformes
  • Connaissance et adhésion aux pratiques de développement modernes, telles que les technologies Agile et Open Source
  • Excellentes compétences en débogage
Qualifications souhaitées
  • Licence en informatique ou équivalent
  • Certifications (facultatif)
  • AWS Certified Developer - Associate
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!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. 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.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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