Senior Analytics Engineer

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 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 wired to make an impact. 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. Robinhood’s Analytics Engineering team, part of the Data Science organization, is the backbone of our decision-making ecosystem. We design and deliver foundational data products that power everything from product innovation to regulatory compliance and operational excellence. Our mission is simple but ambitious: enable every team at Robinhood to access trustworthy, scalable, and self-serve analytics—so the right decisions happen faster. We operate at the intersection of data engineering, data science, and product strategy, collaborating closely with product managers, engineers, and data scientists to transform raw data into clear, actionable intelligence. As a Senior Analytics Engineer , you will be a key architect of Robinhood’s data foundation. You’ll be responsible for the design and development of high-performance ETL pipelines, data models, and analytics tools that fuel critical decisions across the company. Your work will directly influence product strategy, regulatory reporting, and operational efficiency, ensuring Robinhood remains agile and data-driven at scale. This is more than a build role—you’ll help define metrics, shape datasets, and set the standards for analytics excellence across the company. The systems and frameworks you create will have a long-lasting impact on Robinhood’s growth trajectory. This role is based in our Menlo Park, CA 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 Partner cross-functionally with product, engineering, and data science teams to scope and deliver high-impact analytics initiatives, from metric definitions to fully automated reporting solutions. Design and maintain reliable, scalable ETL pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale. Lead end-to-end development of analytics products—from ingestion to visualization—that meet critically important business, product, and regulatory needs. Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization. Collaborate with data scientists to transform raw data into meaningful insights that directly shape business and product outcomes. Champion analytics best practices and drive a culture of data literacy, empowering teams to expertly explore and interpret data on their own. What you bring 5+ 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 mentality. Ability to work in a fa