Data Engineer

About the team:

The preferred location for this position is in or around Robinhood's offices in Menlo Park, CA or New York, NY with in-office work capabilities, as may be required by management.

Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You'll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.

What you'll do day-to-day:

• 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.

About you:

• CS background or any other relevant fields of study.
• Strong product mindset
• 4+ years of experience and a Bachelors degree or 3+ years and a Masters degree
• Experience building high-quality data solutions
• Strong analytical and problem solving skills.
• Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc)
• Expertise in one or more programming languages (ideally Python).
• Strong SQL (Presto, Spark SQL, etc) skills.
• Familiarity with data visualization tools (Looker, Tableau, etc).
• Great communication skills and ability to democratize data through actionable insights and solutions.

Bonus points:

• Passion for working and learning in a fast-growing company.

The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan.

US Zone 1: $157000 - $185000
US Zone 2: $139000 - $163000
US Zone 3: $122000 - $144000