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Senior Software Developer; Data & Backend Development

Job in Toronto, Ontario, C6A, Canada
Listing for: Autodesk, Inc.
Full Time position
Listed on 2026-06-16
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Software Developer (Data & Backend Development)

Job Requisition

Position Overview

Senior Software Developer (Data & Backend Development) – French translation to follow.

The reporting team is looking for an experienced Sr. Software Developer. You will report to the Engineering Manager of the Reporting Team and 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.
  • Use Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka, and AWS.
API Development
  • Develop RESTful APIs and 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 compliance with data privacy regulations.
Minimum Qualifications
  • 7+ years of software development experience at multiple capacities.
  • 2+ years of experience in big data technologies (Airflow, EMR/Spark, Snowflake, Hadoop/Hive).
  • Experience with data streaming (Kinesis/Kafka).
  • Proficiency in programming languages (Python, Java/Scala).
  • Experience building RESTful APIs and microservices.
  • Experience with relational databases (MySQL, Postgre

    SQL).
  • Background on cloud technologies (AWS, S3/EBS, Lambda, EKS, Cloud Watch).
  • Familiarity with observability platforms (Splunk, Datadog).
  • 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.
  • AWS Certified Developer – Associate (optional).
Présentation du poste

Développeur logiciel senior (Développement de données et backend) – L'équipe Reporting recherche un développeur logiciel senior expérimenté. Vous serez rattaché au responsable technique de l'équipe Reporting et chargé de développer des solutions logicielles pour des pipelines de données ETL complexes et des API évolutives. Vous travaillerez en collaboration avec les chefs de produit, les équipes Infrastructure, Opérations commerciales, Assurance qualité et d'autres membres de l'équipe afin de garantir que les données sont accessibles, fiables et bien structurées pour le reporting.

ResponsabilitésDéveloppement

de pipelines de données
  • Développer des pipelines de données pour extraire, transformer et charger (ETL) des données provenant de multiples sources vers un répertoire 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.
  • Utiliser Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka et AWS.
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…
Position Requirements
10+ Years work experience
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