Senior Software Engineer, Big Data Systems

Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.

About the Role:

With such a large catalog of content, data and machine learning are fundamental to Tubi's success, and Tubi's Data Platform is the cornerstone of all data and ML use. At Tubi, you will join a stellar team of engineers with a passion for solving the most challenging problems using cutting-edge technology. In this Senior Data Engineering role, you will be expected to be a hands-on leader, leading by example as you and your team build out systems to handle data in real-time on a massive scale. You will build and maintain a cutting-edge cloud ecosystem at Tubi using modern Infrastructure as Code (IaC) principles to support computing and storage needs for big data processing. You will drive best practices in security, deployment, CI/CD, system observability, ensuring continuous improvement in automation and developer efficiency. In short, you will enable Tubi to be truly data-driven.

Responsibilities:

• Handle the collection and processing of large scale raw data
• Develop and manage big data infrastructure on Kubernetes, ensuring availability, scalability, resiliency and security
• Manage, and effectively integrate home grown infrastructures with cloud provider services like AWS and Databricks
• Builds and improves infrastructure for data extraction, transformation, loading and cleaning from diverse sources using APIs, SQL and AWS technologies
• Improving data quality by building tools, processes and pipelines to enforce, check and manage data quality at a large scale
• Implement CI/CD pipelines for data operations ensuring efficient and smooth deployment of data models and applications

Your Background:

• 5+ years of experience building scalable batch and streaming data pipelines (Spark or Flink)
• 3+ years of experience designing and implementing pipelines for ETL and cleaning of data from a wide variety of sources using APIs, SQL, Spark and AWS technologies
• Strong knowledge of Kubernetes, Streaming, distributed databases, and cloud storage (e.g., S3)
• Strong experience in JVM language (Scala is not required, but preferred)

Preferred Qualifications:

• Experience building and managing message queues like Kafka and Kinesis
• Experience with Spark and Flink cluster development and maintenance
• Experience with AWS ecosystems
• Have good communication skills and can clearly communicate thoughts and ideas with junior engineers and senior management

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 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 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 considers 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 employment for qualified applicants with arrest and conviction records. We are an E-Verify company.