10 days ago
Base Salary
$153k - $230k/yr
Responsibilities
- Define and build key datasets across Robinhood’s product areas and lead their evolution as use cases grow.
- Build scalable data pipelines using Python, Spark, and Airflow to move application and database data into the data lake.
- Partner with upstream engineering teams to improve data generation patterns.
- Work with data consumers to understand consumption patterns and design intuitive data models.
- Contribute to shared data engineering tooling, standards, and company-wide best practices.
Requirements
- 5+ years of professional experience building end-to-end data pipelines.
- Hands-on software engineering experience writing production-level Python for user-facing applications, services, or systems, beyond data scripting or automation.
- Expertise building and maintaining large-scale data pipelines with open-source frameworks such as Spark and Flink.
- Strong SQL skills, including Presto and Spark SQL.
- Experience solving problems across the data stack, including data infrastructure and analytics and visualization platforms.
- Strong collaboration skills and the ability to democratize data through actionable insights and solutions.
Benefits
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
- 100% paid employee health insurance and 90% coverage for dependents.
- Flexible lifestyle wallet for wellness, learning, and other spending.
- Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
- Company holidays, paid time off, sick time, parental leave, and other time off.
- Catered meals, office events, and comfortable workspaces.
- Based in the Menlo Park, California office with in-person attendance expected at least 3 days per week.
Tech Stack
Categories
Data Engineering
About Robinhood
Trade. Invest. Earn. rbnhd.co/social_media_disclosures