Software Developer, Data Engineering

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are focused on delivering meaningful results. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

With a strong and growing engineering hub in Toronto, our teams in Canada play a critical role in building financial products that serve millions of customers! The Data Engineering team creates and maintains the foundational datasets that power analytics, experimentation, and machine learning across Robinhood. This includes application events, database snapshots, and derived metrics that help teams understand product performance.

As a Software Developer, you will design and build scalable data pipelines and tooling that support decision-making across the company. You will partner with engineers, data scientists, and business teams to develop intuitive data models and improve how data is generated and consumed. This role provides an opportunity to shape how data systems evolve as product and business needs grow!

This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do 

• Build and maintain key datasets across Robinhood product areas, evolving them as use cases expand
• Develop scalable data pipelines using Python, Spark, and Airflow to ingest and process data into the data lake
• Work with upstream engineering teams to improve how data is generated and structured
• Partner with data users to understand usage patterns and design clear, usable data models
• Contribute to shared data engineering tooling and establish consistent development standards

What you bring

• You have 3+ years of experience building end-to-end data pipelines
• You have hands-on software engineering experience and can write production-level Python code for applications or services
• You have experience building and maintaining large-scale data pipelines using frameworks such as Spark or Flink
• You are proficient in SQL, including tools such as Presto or Spark SQL
• You can work across the data stack, including data infrastructure and analytics platforms, and collaborate effectively with partners

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.