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Tubi - Canada

Senior Data Engineer

Toronto, ON, Canada

Pay: $108,600 - $155,100 CAD
Experience: 7+ years of industry experience, at least 5 of which are in a data engineering (or data-centric software engineering) role.
Posting language: English
Posted: Sep 28, 2026

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Original job description

About the Role:

As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights. You'll operate as an embedded data engineer within a specific data product vertical, shaping the culture, best practices, and overall approach to data engineering within the team. Our diverse product verticals, such as Viewer Growth, Ad Product Sales, and Marketing Analytics, are all highly data-driven.

In this role, you will also be responsible for supporting Tubi’s Growth vertical with the creation and curation of CRM and Growth related pipelines, datasets, and scripting in the Databricks environment and leveraging the Braze CRM platform. Additionally tasks related to general pipeline creation, SQL optimization, data-related automation,, and contributing to the strategic direction of data engineering for the Growth organization. Each product team presents unique big data challenges, requiring you to be adaptable, curious, and possess a strong foundation in big data and engineering principles. Your responsibilities will span from constructing efficient pipelines and facilitating data access for data scientists and analysts, to building specialized data products that empower non-engineering teams with deeper insights into their datasets.

This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week.

What You'll Do:

Be the primary owner of the data needs of a specific product vertical. That means everything from raw-data ingestion to end-user analysis.
Build intuitive, easy-to-use, and high quality datasets using Spark and DBT
Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents
Participate in the occasional on-call rotation (12-hr day time shifts, ~1-2/month)
Understand your product vertical's datasets, with an ability to document and educate your team on how certain tables / fields are meant to be used
Be the liaison between your product vertical and the core data infrastructure team to make sure business needs are met in a computationally efficient manner

Your Background:

BSc/MSc in Computer Science or related field
7+ years of industry experience, at least 5 of which are in a data engineering (or data-centric software engineering) role.
Track record of building and operating scalable, flexible, and always-on data pipelines.
A desire and ability to truly understand and serve the business problems and use-cases you will be working with.
Fluent in data manipulation and SQL
Strong knowledge of Spark, Python (libraries like pandas and polars, helpful)
Strong experience with Databricks (SQL Warehouses, Jobs Clusters, and Serverless)
Familiarity with DBT and Airflow
Experience building SMS/in-app/email messaging pipelines at scale (Braze preferred)
Experience with cloud providers and cloud storage (AWS preferred)
Experience with efficiently working with datasets at TB scale
Service and data quality oriented!
A passion for shipping production quality code with good test coverage
Ability to prioritize tasks and self-motivate without constant supervision

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

$108,600 - $155,100 CAD

Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.

For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.

For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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More about this job

Responsibilities

The Senior Data Engineer will own the data needs for a specific product vertical, managing everything from raw data ingestion to end-user analysis. They will build high-quality datasets, maintain data pipelines, and act as a liaison between product teams and infrastructure teams.

Requirements

Candidates must have a BSc or MSc in Computer Science or a related field and at least 7 years of industry experience, with 5 years specifically in data engineering. Proficiency in Spark, SQL, Python, and experience with cloud platforms like AWS and Databricks is required.

Skills

Data engineering
Spark
SQL
Python
Databricks
DBT
Airflow
AWS
Data pipelines
CRM
Braze
Data quality
Big data
Pandas
Polars

Benefits

Medical insurance
Dental insurance
Vision insurance
Flexible time off policy
Parental leave program
Discretionary bonus
Long-term incentive plan

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Spark
SQL
Python
Databricks
DBT
Airflow
AWS
Braze
CRM
Big Data
Pandas
Polars
Data Pipelines
Data Quality
Cloud Storage
Automation
Analytics
Streaming
Growth Marketing
Software Engineering
Data Infrastructure
Production Code
Test Coverage
Hybrid Work

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