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Autodesk

Senior Data Developer, Analytics & Insights

Autodesk

Senior Data Developer responsible for designing and implementing data pipelines at Autodesk. Working with big data technologies to drive data-driven decision-making and improve platform initiatives.

Posted 6/9/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSCloudETLHadoopPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, automate and maintain scalable, robust and reliable ELT/ETL data pipelines that collect, process and transform large volumes of structure and unstructured data from various sources
  • Maintain and enhance our existing data architecture to ensure smooth and efficient data flow across platforms
  • Interface with data peers, product managers and cross-functional stakeholders to gather requirements, sequence work, and document technical solutions
  • Implement best practices for data quality, integrity and governance, including monitoring, validation and auditing processes to ensure reliable and consistent data availability
  • Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation by staying up to date with industry trends and new technologies
  • Apply an AI-native data engineering mindset by using ML-driven validation, anomaly detection, automated schema evolution, automated data lineage and optimizations for pipeline performance and resource efficiency

Requirements

What you’ll need
  • 5+ years of data processing and data engineering experience in a fast-paced, large cloud-based infrastructure (AWS experience required)
  • Hands-on software development experience in Python
  • Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake, Presto/Hive
  • Understanding of Data Engineering best practices for medium to large scale production workloads
  • Knowledge of big data processing frameworks (e.g. Spark, Hadoop)
  • Expertise with data pipeline orchestration tools, such as Airflow
  • Familiar with processing semi-structured file formats such as Json or parquet
  • Bachelor’s degree in computer science, data science, or related fields

Benefits

Comp & perks
  • Annual cash bonuses
  • Comprehensive benefits package

ATS Keywords

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Hard Skills & Tools
data engineeringdata processingPythonSQLdimensional modelingSnowflakePrestoHadoopSparkAirflow
Soft Skills
collaborationcommunicationproblem-solvinginnovationattention to detailadaptabilityteamworkdocumentationrequirements gatheringdata quality
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in data science