Data Engineer – Platform

United States Digital Space LLC; Toronto; On-site; CAD 103,321 - 147,602; Full time

Benefits offered by this job

Extended health and dental coverage

Retirement savings plans

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Learning opportunities through dedicated team

Global parental leave

Job summary

United States Digital Space LLC is looking for a Data Engineer in Toronto to build and optimize data processing tools. This role combines collaboration with various squads and the handling of complex data challenges using modern technologies.

The ideal candidate has over 3 years of experience, working proficiency with Python or JVM-based frameworks, and a strong technical foundation. The position provides benefits including health coverage, retirement plans, and flexible working conditions.

Qualifications

• 3+ years of experience in data engineering or related field.
• Strong understanding of systems design and data structures.
• Curiosity about AI technology to improve workflows.

Responsibilities

• Build large-scale batch and real-time data processing tools.
• Collaborate with cross-functional teams to deliver features.
• Expand and evolve data processing platform as needs change.

Skills

Data pipeline construction and maintenance

Experience with Python or JVM-based frameworks

Understanding of scalable architectures

Ability to work with high-volume datasets

Solid engineering practices

Curiosity about emerging technologies

Job description

Engineering, Permanent, Toronto

The Platform team creates the technology that enables the company to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

The Data Infrastructure product area sits at the heart of the company’s Platform mission, enabling teams across the company to solve complex data challenges at scale. We build the infrastructure and tooling that powers data pipelines used in some of the company’s most loved experiences, like Discover Weekly and Wrapped. As part of this team, you’ll collaborate with engineers across multiple squads to shape the future of data processing and developer experience at the company, especially as AI and intelligent agents become more central to how we work with data.

What You’ll Do

• 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 the company’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

Who You Are

• You have 3+ years of experience working in data engineering or a related field
• You are experienced with building and maintaining data pipelines using modern programming languages
• You have a strong understanding of systems design, data structures, and scalable architectures
• You are comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
• You have experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow
• You care deeply about developer experience and enjoy building tools that help others move faster
• You apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code
• You are curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows

Where You’ll Be

• This role is based in Toronto.
• We offer you the flexibility to work where you work best! There will be some in-person collaboration, and we expect you to be within a commutable distance to the office.

Benefits & Compensation

The Canada base range for this position is $103,321 – $147,602 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.

Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs.

the company is an equal opportunity employer. You are welcome at the company for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.