Software Developer, Data Engineering

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.