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HomeCompaniesRobinhoodSenior Software Engineer, Data Engineering

Senior Software Engineer, Data Engineering

Robinhood · Menlo Park, CA · Active · $196,000–$230,000 / year · Greenhouse

Job facts

FieldValue
CompanyRobinhood
TitleSenior Software Engineer, Data Engineering
Normalized title-
Department / teamENG Data Science
LocationMenlo Park, CA, United States
Work model-
Employment type-
Salary$196,000–$230,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2022-12-08 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Robinhood.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Menlo Park.Open
Department jobsActive postings in ENG Data Science.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyRobinhood
Source679ace75-f1ef-4a62-a773-10d74c2a4f93
ATS providerGreenhouse

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 Privacy Policy for your country of application.

Full job record

Job ID5348233bedacfc06fe7d6a17f3b287d211e88968
Org ID44ae58e2-a385-4341-9054-3fe5db53e071
Source ID679ace75-f1ef-4a62-a773-10d74c2a4f93
Board ID679ace75-f1ef-4a62-a773-10d74c2a4f93
Providergreenhouse
Provider Job Key4738660
TitleSenior Software Engineer, Data Engineering
Normalized Title
Statusactive
Activeyes
Location TextMenlo Park, CA
DepartmentENG Data Science
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CityMenlo Park
Salary RawBase 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 &m
Salary Min196,000
Salary Max230,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://boards.greenhouse.io/robinhood/jobs/4738660?t=gh_src=&gh_jid=4738660
Apply URLhttps://boards.greenhouse.io/robinhood/jobs/4738660?t=gh_src=&gh_jid=4738660
First Seen At2026-05-29 22:41:13Z
Last Seen At2026-06-06 20:33:58Z
Last Checked At2026-06-06 20:33:58Z
Last Changed At2026-05-29 22:41:13Z
Inactive At
Source Posted At2022-12-08 18:08:49Z
Source Updated At2026-05-22 16:11:47Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=robinhood/date=2026-06-06/2026-06-06T20-33-57-851Z-9504be0c2f112520222a3d383792bf5e74678e7c6c62bcf9b597664b64c733e2.json
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Extensions
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Native Structured
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