招聘
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About the role
Rippling’s Data Cloud underpins every analytical experience across our platform—from real-time dashboards for HR and IT admins to the next generation of AI-driven workflows. At the heart of this ecosystem is RQL (Rippling Query Language), our proprietary language that allows customers and internal developers to build complex formulas, analytics, and applications.
As a Senior Staff Engineer on the Query and Data Platform team, you will be a "dual-ended" technical leader. You will have the technical depth to drop into the code to unblock high-priority tactical initiatives, while simultaneously surfacing to architect the multiyear roadmap for our data infrastructure. You aren’t just building a feature; you are evolving a startup-stage infrastructure into a world-class, mature data platform that rivals the industry’s leading cloud providers.
What you will do
- Architect the Future of RQL: Own the grammar, parser, and compiler layer of RQL. You will expand its expressive power to ensure that Rippling’s AI can leverage structured queries to provide authoritative, provable answers without hallucinations.
- Drive Platform Maturation: Lead the strategic shift from "tactical execution" to "platform excellence," designing systems for long-term reliability, scalability, and performance.
- Optimize at Scale: Take accountability for performance and cost-efficiency across a massive technical stack involving Trino, Iceberg, and S3. You will have the autonomy to launch cross-functional projects that impact the company’s bottom line.
- Bridge AI and Data: Collaborate with AI initiative leads to ensure the Data Cloud provides the necessary "backend of the backend" infrastructure to support complex, high-velocity data transformations.
- High-Leverage Leadership: Act as a force multiplier for a senior-heavy team of Staff and Senior Staff engineers. You will transmute ambiguous business needs into concrete technical architectures that multiple teams can execute against.
- Engineering Excellence: Set the standard for state-of-the-art development at Rippling, working with technologies like Python, MongoDB, CDC, Kafka, and Flink to build ingestion systems that operate at a global scale.
What you will need
- 12+ years of experience in backend or data platform engineering, with a proven track record of operating at the Principal or Senior Staff (L9+) level.
- Deep Systems Expertise: You have extensive experience with database internals, query optimization, or building custom compilers/programming languages.
- Big Data Mastery: Proficient in the "modern data lakehouse" stack—specifically Trino/Presto, Apache Iceberg, and S3.
- Scale & Maturity: You have seen what "good" looks like at a massive scale and know how to navigate a system through the growing pains of rapid organizational scaling.
- Dual-Ended Impact: You are equally comfortable whiteboarding a multi-year architectural vision with VPs as you are diving into a complex debugging session with a Staff engineer.
- Product-Minded Infrastructure: You care deeply about the "why" behind the data. You build platforms not just for technical elegance, but to unlock customer value and business impact.
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
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关于Rippling

Rippling
Series CRippling is a privately owned international software company. Launched in 2017 in San Francisco, California, it operates a cloud-based software platform that allows businesses to manage their HR, finances, and IT matters.
501-1,000
员工数
San Francisco
总部位置
$11.25B
企业估值
评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.4
管理层
2.5
65%
推荐给朋友
优点
Great compensation and benefits
Learning opportunities and mentorship
Supportive team culture
缺点
Management issues and lack of direction
High pressure and fast-paced environment
Heavy workload and long hours
薪资范围
2个数据点
Intern
Intern · Data Scientist
0份报告
$190,000
年薪总额
基本工资
-
股票
-
奖金
-
$161,500
$218,500
面试经验
2次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Virtual Onsite
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
新闻动态
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1d ago
absolutely horrendous interview experience at Rippling
I recently went through on site loop for sde 2 position at rippling, i cleared the first round, after the second round of interview was done i waited for 3 days before following up when i was told that no feedback was submitted yet by the interviewer, i said fine, i'll wait, another week passed, still the same fking response, i don't know why they are hogging up my feedback like this, it is putting me in a bad position as other candidates have already moved forward and attempted the final round,
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