Senior Data Engineer

About the Role:

In this Data Engineering role, you will help us build out a new team of product-focused data engineers. You will work closely with one of our data product verticals, setting the culture, best practices, and expectations for how your new team's data engineers will work with our different product verticals. Tubi has many data-hungry product verticals you may work with, including Performance Marketing, Growth Marketing, User Identity, Ad Tech, Content Analytics, Content Acquisition, and more. As a senior engineer on the team, you will also mentor and help newer engineers along the way. Each product team you will work with has unique data challenges, all revolving massive datasets, so you should be adaptable, curious, and have a solid foundation in big data and engineering fundamentals. You will do everything from building efficient pipelines, helping data scientists and analysts get the data they need, and even build out specific data products to help non engineering teams get better insight into their unique datasets.

Your Responsibilities:

• 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 daytime on-call rotation
• Really 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

Your Background:

• 7+ years of data engineering experience building scalable, flexible, and always-on data pipelines
• 5+ years of experience using SQL, Python, and Spark for data manipulation
• Experience with efficiently working with datasets at TB scale
• Experience with Databricks, DBT, Redshift, and AWS 
• A passion for shipping production quality code with good test coverage

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 Compensation

$187,000 to $269,000 / year + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

$168,000 to $242,000 / year + Bonus + Long-Term Incentive Plan + Benefits

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Last updated on Aug 5, 2024