Democratize finance for all, particularly in the context of the largest transfer of wealth in human history
Requirements
- 5+ years of professional experience building end-to-end data pipelines
- Proven ability to implement software engineering-caliber code (preferably Python)
- Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
- Strong SQL (Presto, Spark SQL, etc) skills
- Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Responsibilities
- Help define and build key datasets across all Robinhood product areas
- 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
Other
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more!
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more!
