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

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