# Data Infrastructure Engineer

**Company**: Spotify
**Location**: Toronto, ON
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $103,321 – $147,602 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/4303f795-d0a5-41ed-8c78-0941780b6e54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_18a3f871-e55

## Description

The Data Infrastructure product area at Spotify enables teams across the company to solve complex data challenges at scale. As a Data Infrastructure Engineer, you will collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify.

Responsibilities:

- Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows

- Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem

- Expand and evolve Spotify's data processing platform to meet growing and changing business needs

- Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem

- Contribute to the evolution of a unified data platform, including efforts toward a data monorepo

- Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure

Requirements:

- 3+ years of experience working in data engineering or a related field

- Experience with building and maintaining data pipelines using modern programming languages

- Strong understanding of systems design, data structures, and scalable architectures

- Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments

- Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow

- Care deeply about developer experience and enjoy building tools that help others move faster

- Apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code

- Curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows

## Skills

### Required
- data engineering
- Google Cloud Platform
- Python
- JVM-based data processing frameworks
- Spark
- Flink
- Dataflow
- systems design
- data structures
- scalable architectures

### Nice to have
- AI
- agent-based systems

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/4303f795-d0a5-41ed-8c78-0941780b6e54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)