Data Science, Analytics Engineering

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world — we'd love to have you apply. About the team + role Robinhood is a metrics driven company, and the Data Science Org is at the center of all the metrics initiatives, setting foundations to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Scientist for Analytics Engineering to drive end-to-end development of high-performing ETL data pipelines, tools, and dashboards to scale insight generation to meet critical business, product, finance, and regulatory requirements. 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 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 Partner closely with product, engineering, and data science to scope out data, metrics & analytics initiatives. Lead end-to-end development of high-performing ETL data pipelines, tools, and dashboard to scale insight generation to meet critical business, product, and regulatory requirements Partner with other data scientists to convert raw data into highly actionable insights, supporting analytics deep dives to convert those insights into tangible actions Develop frameworks, tools, and workflows that improve efficiency for data consumers, while upholding high standards of data quality and performance. What you bring 3+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation. Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar. Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau. Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. A strong product approach. Ability to work in a fast-paced, and highly cross-functional environment. Bonus points: Data Engineering experience Solid understanding of Greenhouse, Workday, and One Model Passion for working and learning in a fast-growing company Intense sense of curiosity Satisfaction from mentoring and encouraging others in your field

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.