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 fast-paced, and highly multi-functional environment.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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 and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$179,000-$210,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$157,000-$185,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$139,000-$164,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.