Senior Data Engineer, Tubi
Discovery & AI
Free TV and movie streaming service
Be an early applicant
Free TV and movie streaming service
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To free the world’s entertainment to super-serve audiences and advertisers everywhere.
Role
Who you are
- 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)
- Experience in Databricks Feature Store usage with ML offline training
- Experience in setting up experiments and A/B testing
- Nice to have MLFlow Python library experience
- Familiarity with DBT and Airflow in particular is helpful
- Familiarity with StatSig and Experiment setup is helpful
- Nice to have experience bringing data in from RDS/PostgreSQL instances to Databricks
- 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
What the job involves
- 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, Discovery & AI, shaping the culture, best practices, and overall approach to data engineering within the team
- 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. 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 day time 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
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
27% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2019
$25m
LATE VC
May 2017
$21.3m
SERIES B
Total funding: $76.3m
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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