Senior Data Engineer, Tubi

$108.6-155.1k

Salary applicable to California, New York City, Westchester County, NY, and Seattle, WA applicants only and may vary for other locations. + Annual discretionary bonus and long-term incentive plan

SQL

AWS

Python

Airflow

Spark

Pandas

dbt

Senior and Expert level

Toronto

1-2 days a week in office

Free TV and movie streaming service

Be an early applicant

Free TV and movie streaming service

501-1000 employees

B2CEntertainmentDigital MediaSaaSAdvertising

Be an early applicant

$108.6-155.1k

Salary applicable to California, New York City, Westchester County, NY, and Seattle, WA applicants only and may vary for other locations. + Annual discretionary bonus and long-term incentive plan

SQL

AWS

Python

Airflow

Spark

Pandas

dbt

Senior and Expert level

Toronto

1-2 days a week in office

501-1000 employees

B2CEntertainmentDigital MediaSaaSAdvertising

Company mission

To free the world’s entertainment to super-serve audiences and advertisers everywhere.

Job

Company

Role

Who you are

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
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

What the job involves

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
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
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

Our take

Tubi is a streaming service that was founded in 2014 with the mission of offering subscribers premium television and movies for free. To achieve this, the streaming service relies on ad revenue to support its extensive content library. Rather than focusing on producing original content, Tubi emphasizes acquiring the right to preexisting shows and movies.

Leveraging a business model centred on ad-supported streaming, Tubi has successfully disrupted the highly competitive industry. This approach has resonated with audiences, helping the service amass 51M active subscribers worldwide.

With its recent expansion into the UK, Tubi is poised to tap into a new and diverse audience, further solidifying its position as a major player in the ad-supported streaming market.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

27% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (1.9)

Company

Funding (last 2 of 5 rounds)

Jan 2019

$25m

LATE VC

May 2017

$21.6m

SERIES B

Total funding: $76.6m

Company benefits

Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one
Family Support: We’re proud to support families of all kinds, and offer generous parental leave, childcare support, and eldercare assistance whenever you need it
Wellness Programs: Monthly wellness reimbursement, generous time off, and additional Tubi Holidays help us support mental and physical wellbeing for you and your family
Continuing Education: From education reimbursement to leadership development to certification support, we’re invested in developing our talent so you can take your career to the next level
Financial Support: We offer resources to help keep you financially fit and invested in your future, from our highly-rated retirement savings matches to financial advisors and planning services

Company HQ

Financial District, San Francisco, CA

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