Senior Software Engineer, Data Engineering
Company: Robinhood
Location: Menlo Park
Posted on: April 1, 2026
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Job Description:
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 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. The Data Engineering team builds and
maintains the foundational datasets that power decision-making
across Robinhood. We design reliable, scalable data systems that
support product analytics, growth strategy, financial reporting,
experimentation, and machine learning. The team partners closely
with Product, Engineering, Data Science, and Finance to ensure
accurate, well-modeled data is available to teams across the
company. Our work directly influences how Robinhood measures
performance, improves customer experience, and scales its products.
As a Senior Data Engineer, you will design, build, and evolve core
datasets that track product performance and company-wide metrics.
You will develop scalable data pipelines that ingest application
events and database snapshots into our data lake, ensuring high
data quality and reliability. You’ll collaborate with application
engineers to improve data generation patterns and with analytics
teams to design intuitive, well-documented data models. This is an
opportunity to shape the technical foundation that supports
data-informed decisions across the organization! 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 Help define and build key datasets across all
Robinhood product areas. Lead the evolution of these datasets as
use cases grow. Build scalable data pipelines using Python, Spark
and Airflow to move data from different applications into our data
lake. Partner with upstream engineering teams to enhance data
generation patterns. Partner with data consumers across Robinhood
to understand consumption patterns and design intuitive data
models. Ideate and contribute to shared data engineering tooling
and standards. Define and promote data engineering best practices
across the company. What you bring 5 years of professional
experience building end-to-end data pipelines Hands-on software
engineering experience, with the ability to write production-level
code in Python for user-facing applications, services, or systems
(not just data scripting or automation). Expert at building and
maintaining large-scale data pipelines using open source frameworks
(Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills.
Experience solving problems across the data stack (Data
Infrastructure, Analytics and Visualization platforms) Expert
collaborator with the ability to democratize data through
actionable insights and solutions. 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) $196,000 - $230,000 USD Zone 2 (Denver, CO;
Westlake, TX; Chicago, IL) $172,000 - $202,000 USD Zone 3 (Lake
Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 - $179,000 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. 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 for your country of application.
Keywords: Robinhood, Tracy , Senior Software Engineer, Data Engineering, Engineering , Menlo Park, California
