Description
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We're thrilled to be expanding this year as Robinhood is hiring world-class engineering talent in Toronto. Our Hoodies in Canada will enable Robinhood to continue creating great financial products on our journey towards democratizing finance for all.
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
- 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.
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