Our Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.

In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role is based in the New York City Metropolitan Area and is a hybrid role working at least two days per week in our NYC office.

Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.

The ideal candidate will be:

• A technology enthusiast – who loves data and get shiver excitement from tech innovations
• Desire to ...