The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do
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.
What you bring
CS background or any other relevant fields of study.
Strong product mindset
4+ years of experience and a Bachelors degree or 2+ 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.
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.
Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.
Base Pay Range
Toronto, ON
$166,000—$195,000 CAD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
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.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
