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. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.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.The role is located in the office location(s) listed on this which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.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.CS background or any other relevant fields of study.Strong product mindset4+ years of experience and a Bachelors degree or 2+ years and a Masters degreeExperience building high-quality data solutionsStrong 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).Outstanding communication skills and ability to democratize data through actionable insights and solutions.Bonus Points In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + advantages.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.

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. 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. #

📌 Software Developer, Data Engineering (Winnipeg)
🏢 Robinhood
📍 Winnipeg