Senior Software Engineer, Data Engineering
Posted by employer 3 years ago
First seen on Joblaze 5 months ago
Last verified on the company career page 9 hours ago
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Software Engineer for Data Engineering at Robinhood focuses on designing and building core datasets that track product performance and company metrics. The position requires expertise in Python, Spark, and Airflow to create scalable data pipelines, alongside strong SQL skills for data manipulation. Ideal candidates will have over five years of experience in data engineering and a collaborative mindset to work across various teams. Robinhood emphasizes a high-performance culture, making this role suitable for ambitious professionals eager to make a significant impact.
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze April 16, 2026. Last confirmed on Robinhood's careers page October 8, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
- Starts above 90% of 138 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.1% of 216 comparable senior data engineering roles in United States; Presto appears in 0.5% of 216 comparable senior data engineering roles in United States.
Quick facts
- Is the Senior Software Engineer, Data Engineering role remote?
- It's hybrid — Robinhood expects some on-site time in Menlo Park, CA.
- What's the salary range?
- Robinhood lists $196,000–$230,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer, Data Engineering role.
- Where is the role based?
- Robinhood is hiring for this position in Menlo Park, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Presto, Python, SQL, Spark, Spark SQL.
- What seniority level is this role?
- Robinhood targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Data Engineering role at Robinhood.
From the original posting
Join us in building the future of finance.
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.
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 Range:
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Standard company text repeated across Robinhood's postings is omitted here.