Senior Data Engineer, Viewer Growth

Tubi Tv; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading streaming service in Toronto is seeking a Data Engineer to develop and maintain robust data pipelines for analytics and insights. The ideal candidate will have over 7 years of experience in the field, with strong skills in SQL, Spark, and data manipulation. This role involves owning data needs for various product verticals, ensuring data quality, and mentoring junior engineers. Competitive benefits and a flexible working environment are offered to all employees.

Benefits

Flexible Time Off Policy

Parental leave program

Monthly wellness reimbursement

Qualifications

• 7+ years of industry experience, with at least 5 in a data engineering role.
• Experience building scalable, always-on data pipelines.
• Ability to understand business problems and use-cases.

Responsibilities

• Own data needs for your product vertical from ingestion to analysis.
• Build high quality datasets using Spark and DBT.
• Monitor data quality issues and set alerts.

Skills

Data manipulation

SQL

Data quality orientation

Spark

Python

Cloud storage

DBT

Airflow

Education

BSc/MSc in Computer Science or related field

Tools

Databricks

Spark

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 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.

About the Role: As a 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 your vertical with data-related automation, mentoring junior engineers if need be, and contributing to the strategic direction of data engineering across the company. 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.

Additional verticals with current openings;

• Discovery & AI (Senior Data Engineer)

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 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 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

Benefits and Compliance

• Tubi is a division of Fox Corporation. FOX Employee Benefits summary covers most US employee benefits; differences between Tubi and FOX benefits are noted in the summary.
• For US-based non-exempt Tubi employees, FOX Vacation and Sick Time details are captured in the FOX Employee Benefits summary.
• For all salaried/exempt employees, Tubi offers a Flexible Time Off Policy to manage personal matters.
• For all full-time, regular employees, Tubi offers a parental leave program with twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement, in addition to applicable government leaves and FOX short-term disability policy. This time is paid through a combination of state, city, and federal leaves and wage-replacement programs plus Tubi contributions.
• For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

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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