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Tatari is seeking a Senior Data Engineer to own end-to-end data pipelines for reporting and measurement. You will design, build and operate large-scale ETL processes, working closely with data science, backend and product teams to ship trusted analytics datasets.
The role requires strong Python/SQL, Spark/PySpark, and experience with Databricks and Delta Lake, plus a Hybrid RTO in SF to collaborate in person.
Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets powering Tatari’s reporting and measurement products. You will be responsible for taking data products from requirements through tech spec, implementation, validation and production rollout—partnering closely with data science on methodology, backend and frontend engineers on serving layers, and product on requirements. The ideal candidate will have deep expertise in building and operating ETL pipelines at scale, a strong data quality and validation mindset, and a proven track record of owning datasets end-to-end in a cross-functional environment.
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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