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Analytics Engineer

Robinhood Menlo Park, CA

Live

$119k - $140k · Senior Full-time Posted 5 months ago 5 min read

Join a leading fintech company thatâs 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 youâre invigorated by our mission, values, and drive to change the world â weâd love to have you apply.

<h2><strong>About the team + role </strong></h2>

The Analytics Engineering team within Robinhoodâs 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. Youâll 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 companyâs data foundations and have a long-lasting impact on Robinhoodâs 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 youâll do

Collaborate with cross-functional teams (e.g., PeopleX, engineering, and data science) to support analytics projects, including building dashboards, defining metrics, and delivering recurring reports.
Assist in developing and maintaining reliable ETL pipelines and data models using established data tooling (e.g., Airflow, Spark), under guidance from senior team members.
Contribute to the development and refinement of internal dashboards and reporting tools to support operational and business decision-making.
Support data quality initiatives by monitoring pipeline performance and helping troubleshoot issues with guidance from more senior engineers.
Work alongside data scientists and analysts to translate raw data into clean, usable datasets for analysis and reporting.
Participate in team efforts to improve data documentation, promote analytics best practices, and support a self-serve data culture across stakeholder groups.

What you bring

At least 1 year of experience (including internships or professional settings) in Analytics Engineering or Data Engineering.
Working knowledge of SQL and basic Python scripting for data analysis and transformation; exposure to Apache Spark (PySpark, Spark SQL) is a plus.
Some experience assisting in the development or maintenance of ETL pipelines, ideally using tools like Airflow or similar workflow orchestration frameworks.
Exposure to dashboarding tools such as Superset, Looker, or Tableau, with a focus on usability and performance.
Familiarity with version control systems (e.g., Git/GitHub) and an understanding of modern data development workflows.
A curious and product-oriented mindset, with an eagerness to understand business needs and contribute to data-driven solutions.
Comfortable working in a collaborative, fast-paced environment, and receptive to feedback and mentorship from more experienced teammates.

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual life>
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

<div class="content-pay-transparency">

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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhoodâs equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

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

$119,000—$140,000 USD

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

$105,000—$123,000 USD

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

$93,000—$109,000 USD

<div class="content-conclusion">

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

Weâre looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If youâre ready to give 100% in helping us achieve our missionâweâd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

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. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

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