The opportunity
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
What you'll do
Help define and build key datasets across all Robinhood product areas. Lead: the evolution of these datasets as use cases grow.
Build scalable data pipelines using Python, Spark and Airflow to move data: from different applications into our data lake.
Partner with upstream engineering teams to enhance data generation patterns.
Partner with data consumers across Robinhood to understand consumption: patterns and design intuitive data models.
Ideate and contribute to shared data engineering tooling and standards.
Define and promote data engineering best practices across the company.
What they're looking for
- CS background or any other relevant fields of study.
- Strong product mindset
- + years of experience and a Bachelors degree or 2+ years and a Masters degree
- Experience building high-quality data solutions
