Tubi is looking to develop and maintain robust data processing pipelines to support reporting, analytics, and performance insights, specifically focusing on building data pipelines to track marketing spend and attribution for the Growth Marketing team.
Requirements
- 10+ years of industry experience, at least 7 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
- 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)
- Strong familiarity with DBT and Airflow
- Experience with cloud providers and cloud storage (AWS preferred)
Responsibilities
- Be the primary owner of the data needs of the Growth Marketing team. That means everything from raw-data ingestion, end-user analysis, to light management duties
- Ability to manage other DE resources to achieve your team's goals
- Ability to plan and execute on general goals with limited management input
- 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)
- 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
Other
- Experience in management of a small team
- A desire and ability to truly understand and serve the business problems and use-cases you will be working with
- Service and data quality oriented
- A passion for shipping production quality code with good test coverage
- This role is a hybrid role based out of the San Fransisco office. You must be willing to travel to our San Fransisco office 2 days/week.
