8 hours ago
Toronto, CanadaSenior
Responsibilities
- Define and build key datasets across Robinhood product areas and lead their evolution as use cases grow.
- Build scalable data pipelines using Python, Spark, and Airflow to move data from applications into the data lake.
- Partner with upstream engineering teams to improve data generation patterns.
- Work with data consumers to understand usage patterns and design intuitive data models.
- Contribute to shared data engineering tooling, standards, and company-wide best practices.
Requirements
- A computer science background or another relevant field of study.
- At least 4 years of experience with a bachelor’s degree or at least 2 years with a master’s degree.
- Experience building high-quality data solutions and scalable data pipelines.
- Expertise with open-source data frameworks such as Hadoop and Spark.
- Expertise in one or more programming languages, ideally Python.
- Strong SQL skills, including Presto or Spark SQL.
- Familiarity with data visualization tools such as Looker or Tableau.
- Strong analytical, problem-solving, communication, and data-democratization skills.
- A strong product mindset.
Benefits
- Eligible for bonus opportunities, equity, and benefits in addition to base pay.
- The role is based in Toronto, Ontario, and aligns with Robinhood’s in-office working environment.
- Robinhood provides an inclusive interview experience, reasonable accommodations, and equal employment opportunity.
Tech Stack
Categories
Data Engineering
About Robinhood
Robinhood builds a mobile-first brokerage and cash management platform for retail investors to trade stocks, ETFs, options, and cryptocurrencies, plus IRAs and a cash card. It makes money through interest on cash and margin, payment for order flow, crypto trading fees, and subscriptions like Robinhood Gold. Founded in 2013 and headquartered in Menlo Park, California, Robinhood Markets is a public company listed on Nasdaq under the ticker HOOD.