Analytics Engineering

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

The Analytics Engineering team within Robinhood’s Data Science organization plays a critical role in transforming data into strategic insights. We build foundational data products that support product development, regulatory compliance, and operational efficiency. Our mission is to empower teams across Robinhood with trustworthy, scalable, and self-serve analytics infrastructure. We collaborate closely with product managers, engineers, and data scientists to ensure data is accessible, accurate, and actionable.

As an Analytics Engineer, you will lead the development of high-performance ETL pipelines, tools, and dashboards that power decision-making across the company. You’ll partner with cross-functional stakeholders to define metrics, curate datasets, and surface insights that inform everything from product strategy to regulatory reporting. This role offers the opportunity to shape the company’s data foundations and have a long-lasting impact on Robinhood’s growth.

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 with product, engineering, and data science teams to scope and deliver analytics initiatives, including metric definitions, reporting tools, and dashboard development
• Build and maintain reliable, scalable ETL pipelines and data models using modern data tools (e.g., Airflow, Spark)
• 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 requirement.
• Develop internal tools and frameworks to improve data accessibility, quality, and performance across the organization
• Collaborate with data scientists to turn raw data into meaningful insights that drive business outcomes
• Drive adoption of analytics best practices and promote a culture of data literacy and self-serve analysis

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
• Familiarity with HR systems like 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

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

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.

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.