Data Infrastructure Engineer — Scale Data Pipelines on GCP

Spotify; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A global audio streaming service in Toronto is seeking an experienced Software Engineer to enhance data processing tools and support engineering teams. You will work on data infrastructure solutions using GCP and JVM frameworks like Spark. Ideal candidates will have strong software engineering skills and a passion for improving developer experiences. Flexibility to work from home or in the office is provided.

Qualifications

• 2+ years of professional data engineering experience.
• Strong coding skills in a modern programming language.
• Knowledge of systems design and data structures.
• Experience with high-volume data and distributed systems.
• Familiarity with Python and JVM-based frameworks.

Responsibilities

• Build large-scale batch and real-time data processing tools.
• Collaborate with product teams to enhance data processing features.
• Expand the data processing offerings at Spotify.
• Support the data practitioner community with best practices.

Skills

Data engineering experience

Coding skills in a modern programming language

Systems design knowledge

Experience with distributed systems

Passion for developer experience

Python proficiency

Experience with JVM data processing frameworks

Continuous delivery practices

Education

Bachelor’s degree in Computer Science or related fields

Tools

Google Cloud Platform

Spark

Flink

Dataflow

Storm

Job description

A global audio streaming service in Toronto is seeking an experienced Software Engineer to enhance data processing tools and support engineering teams. You will work on data infrastructure solutions using GCP and JVM frameworks like Spark. Ideal candidates will have strong software engineering skills and a passion for improving developer experiences. Flexibility to work from home or in the office is provided.