Analytics Engineer

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. 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 Analytics Engineer 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. Collaborate with other data scientists to transform raw data into highly actionable insights, facilitating analytics deep dives to turn those insights into growth-driven actions. Build frameworks, tools, and workflows that maximize efficiency for data consumers, while maintaining high standards of data quality and performance. 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 mindset. Ability to work in a fast-paced, and highly cross-functional environment. What we offer: Market competitive and pay equity-focused compensation structure. 100% paid health insurance for employees with 90% coverage for dependents. Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits. Dedicated mental health support for employees and eligible dependents. Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights.