Senior Data Engineer

Tubi Tv; Toronto; Hybrid; CAD 149,000 - 215,000; Full time

Job summary

A leading streaming service is seeking a Senior Data Engineer to develop robust data processing pipelines and support data-driven experimentation. The role requires significant experience in data engineering principles, with a focus on building and managing data pipelines. Ideal candidates will have a background in computer science and proficiency with technologies such as SQL, Spark, and Databricks. This hybrid role is based in Toronto, requiring occasional travel to the office.

Benefits

Flexible time off policy

Generous parental leave program

Monthly wellness reimbursement

Qualifications

• 7+ years of industry experience, with at least 5 in a data engineering role.
• Experience building and operating scalable data pipelines.
• Fluent in data manipulation and SQL.
• Strong experience with large datasets (TB scale).

Responsibilities

• Owner of data needs for a specific product vertical.
• Build high-quality datasets using Spark and DBT.
• Track down data quality issues and set monitors.
• Liaise between product teams and core data infrastructure.

Skills

Data manipulation

SQL

Spark

Python

Databricks

DBT

Airflow

AWS

Education

BSc/MSc in Computer Science or related field

Tools

Databricks

Spark

Job description

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 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. This position will focus on building pipelines to assist the Data Science team in running product experiments. Knowledge of building and managing data-driven DSA related experimentation pipelines and experience in experimentation in general will be a requirement for this position. Knowledge of the StatSig product development tool will be very helpful as well.

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.

This role is a hybrid role based out of the Toronto office. You must be willing to travel to our Toronto office up to 2 days/week.

Your Responsibilities:

• 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, 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 Data Science & experiment related 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 focused on product experimentation and Data Science needs
• 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
• Experience with StatSig product platform is preferred
• 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
• Working with a talented, tight-knit team of passionate people with the mandate to make premium content accessible to everyone
• Use the latest data engineering technologies and techniques to solve engineering problems at petabyte-scale
• Autonomy and end-to-end ownership of what you create
• Your choice of hardware to work with
• Opportunity for internal growth
• Work with other fellow AVOD enthusiasts

#LI-Hybrid

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is 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, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA

$108,600 - $155,100 USD

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

• For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
• For all salaried/exempt 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 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. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
• 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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