Join Tubi (www.tubi.tv), a division of FOX Technology, a premium streaming service leading the charge in making entertainment accessible to all. Headquartered in San Francisco, Tubi is an ad-supported video-on-demand (AVOD) service with movies and television shows. With over 40,000 titles from every major Hollywood studio, Tubi gives fans of movies and television shows an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming. Our services are currently available in the US, Canada, Australia, New Zealand, Mexico, Costa Rica, Ecuador, El Salvador, Guatemala, and Panama.
About the Role:
At Tubi, you will work closely with a stellar team of engineers with a passion for learning through solving the most challenging problems using cutting-edge technology. In this Data Engineering role, you will be building real-time systems to handle data at a massive scale, created by millions of viewers all over the world enjoying the largest content library in streaming. You will enable machine learning engineers to iterate and experiment faster than ever before. You will help data scientists take ideas to production in days or weeks, not months or years. And you will build tools to enable data analysis and modeling for even the least tech-savvy colleagues. In short, you will enable Tubi to be truly data-driven.
Responsibilities:
Creating high-quality, scalable, streaming data pipelines connecting us to all of our users. Improving ML workflows and designing the next-generation data platform for automating ML. Building low latency and low maintenance ETL infrastructure that powers the whole company.
Your Background:
Bachelor's degree from an accredited university, or equivalent work experience
4+ years of a proven track record in a data engineering or related role
Ability to take ownership of scalable data pipelines
A passion for shipping production-quality code
Strong knowledge of Spark, SQL, and cloud storage (e.g., S3)
Scala is not required but preferred
Prior experience with Kafka, Kinesis, or equivalent is also a plus
#LI-ES1 #LI-Remote
Colorado and Washington (excluding Seattle, WA) $144,000 — $164,000 USD 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 $160,000 — $182,000 USD
Tubi is a division of Fox Technology, and the majority of all US-employee benefits are covered by FOX Employee Benefits, summarized here . The following distinctions below 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 US-based employees, Tubi offers 12 paid "Tubi Holidays" in addition to the 11 FOX Corporate Company paid holidays
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 the birth, adoption, surrogacy or foster placement of a child. 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
Tubi is proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
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