Senior Data & Backend Engineer (ETL & API)

Autodesk; Toronto; On-site; CAD 107,000 - 157,000; Full time

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

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.