Senior Data Engineer, Discovery & AI

Tubi Tv; Toronto; Hybrid; CAD 95,000 - 120,000; Full time

Job summary

A leading streaming service in Toronto is seeking a Data Engineer to develop and maintain data processing pipelines for analytics and performance insights. The ideal candidate will have over 7 years of experience and strong skills in SQL, Spark, and Python. This position offers a hybrid schedule, requiring on-site work at least two days a week.

Qualifications

• 7+ years of industry experience with at least 5 in data engineering.
• Proven track record of building scalable data pipelines.
• Strong knowledge of Spark and Python is required.

Responsibilities

• Own the data needs of a specific product vertical.
• Build and maintain efficient data pipelines.
• Coordinate with core data infrastructure team.

Skills

SQL

Data manipulation

Spark

Python

Databricks

Data quality monitoring

Cloud storage (AWS preferred)

Education

BSc/MSc in Computer Science or related field

Tools

DBT

Airflow

MLFlow

Job description

Overview

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. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

About the Role: As a Data Engineer at Tubi, you'll develop and maintain robust data processing pipelines that underpin reporting, analytics, and performance insights. You’ll operate as an embedded data engineer within a specific data product vertical, Discovery & AI, shaping the culture, best practices, and overall approach to data engineering within the team. You will support your vertical with data-related automation, mentor junior engineers if needed, and contribute to the strategic direction of data engineering across the company. Each product team presents unique big data challenges, requiring adaptability, curiosity, and 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.

What Youll Do:

• Be the primary owner of the data needs of a specific product vertical, from raw-data ingestion to end-user analysis.
• Build intuitive, easy-to-use, high-quality datasets using Spark and DBT.
• Track data quality issues, set data quality monitors and alerts to prevent future incidents.
• Participate in occasional on-call rotation (12-hour daytime shifts, ~1-2 per month).
• Understand your product vertical's datasets and document how certain tables/fields are meant to be used.
• Coordinate between your product vertical and the core data infrastructure team to meet business needs efficiently.

Your Background:

• BSc/MSc in Computer Science or related field.
• 7+ years of industry experience, with at least 5 in a data engineering or data-centric software engineering role.
• Proven track record of building and operating scalable, flexible, and always-on data pipelines.
• Strong business sense and ability to understand and serve relevant use-cases.
• Fluent in data manipulation and SQL.
• Strong knowledge of Spark and Python (libraries like pandas and polars are helpful).
• Extensive experience with Databricks (SQL Warehouses, Jobs Clusters, and Serverless).
• Experience with Databricks Feature Store for ML offline training, setting up experiments and A/B testing.
• Nice to have MLFlow, DBT, Airflow familiarity, and StatSig experience.
• Experience bringing data from RDS/PostgreSQL to Databricks is helpful.
• Experience with cloud providers and cloud storage (AWS preferred) and TB-scale datasets.
• Service- and data-quality oriented with a passion for shipping production-quality code with good test coverage.
• Ability to prioritize tasks and self-motivate without constant supervision.

Location and Availability: This position is based in Toronto, Canada, with a hybrid schedule requiring at least two days onsite per week.

Equal Opportunity and Benefits

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 qualified applicants with criminal histories consistent with applicable law.