SeniorDataEngineer

About Orita  Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more. Orita’s algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon …). By messaging prospects and customers when they’re actually listening, you’re able to make a bunch of money. In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth. And that’s where you come in. We need a talented Data Engineer to help us handle massive amounts of data efficiently and reliably. You'll play a crucial role in unifying our data pipeline with an event taxonomy and normalization layer, ensuring our machine learning models have high-quality data to work with. You’ll have a huge impact on our product, our culture, and building something great from the ground up. It will be a lot of fun. You will be on a team of engineers, reporting to our Director of Data, Will Goldstein (he’s been doing data science and data engineering for the last decade). We look like a SaaS company, but we’re really building the data science and machine learning company to support the world’s best brands. You will work closely with our talented teams to enhance our data infrastructure and drive innovation in our data processing capabilities. AS A DATA ENGINEER, YOU WILL: - Design and build scalable and reliable data pipelines to handle large volumes of data from various sources. - Unify our data pipeline by developing an event taxonomy and normalization layer for consistent and accurate data. - Develop and maintain workflows using Airflow, dbt, and Spark. - Collaborate with data scientists and machine learning engineers to facilitate seamless data integration for model training and deployment. - Optimize data retrieval and develop d