Senior Data Engineer

About Orita

Direct-to-consumer brands pay us, in order to market less. Well, technically, they pay us to market more effectively. And, strangely (!), that often means marketing a lot less.

How? We use a lot of math and a lot of machine learning to decide which people on their subscriber lists actually want to hear from them right now.

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 and dbt.
• Collaborate with data scientists and machine learning engineers to facilitate seamless data integration for model training and deployment.
• Optimize data retrieval and develop data models for storage and analysis.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Implement ETL / ELT processes and data integration solutions.
• Contribute to feature engineering efforts to enhance model performance.
• Set up and analyze A / B testing in big data environments.
• Monitor and troubleshoot data pipelines and workflows to maintain optimal performance.

Your Ideal Background :

Please apply even if you don't meet every requirement.

Bonus points for experience in the following :

Where you'll work :

Remotely, with occasional in-person meetings. Bonus points if you're based in or around New York City.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.