Senior Data Scientist, Analytics Engineer
Company: Robinhood
Location: Menlo Park
Posted on: July 1, 2025
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Job Description:
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 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 We use
Covey as part of our hiring and / or promotional process for jobs
in NYC and certain features may qualify it as an AEDT. As part of
the evaluation process we provide Covey with job requirements and
candidate submitted applications. We began using Covey Scout for
Inbound on September 19, 2024. 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 Robinhood’s 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) $161,500 -
$190,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$141,950 - $167,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL;
Gainesville, FL) $125,800 - $148,000 USD
Keywords: Robinhood, Concord , Senior Data Scientist, Analytics Engineer, Engineering , Menlo Park, California
