Rippling
201-500 employees
Human Resources
Software
Information Technology
SaaS
About Rippling
Rippling is a comprehensive workforce management platform that unifies HR, IT, and finance operations into a single system. Founded in 2016, the company offers solutions for employee onboarding, payroll, benefits administration, device management, and app provisioning, streamlining complex administrative tasks for businesses. Rippling's mission is to simplify and automate workforce management, enabling companies to manage their employees and technology with ease and efficiency. Serving a wide range of industries, Rippling is recognized for its innovative approach to integrating HR and IT workflows, helping businesses scale effectively while maintaining compliance and security.
3 months ago
Software Engineer
San Francisco, California - Office
Full-time
Mid Level
Software Engineer
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Description
- Payroll Data is the source of truth that powers Rippling’s Global Payroll ecosystem—fueling reporting, tax filings, accounting integrations, billing, and emerging AI-driven experiences.
- As a Staff Software Engineer on the Payroll Data team, you will play a critical role in designing and building the high-scale data infrastructure and query systems that serve millions of employees globally.
- This role sits at the intersection of product engineering and data infrastructure.
- You’ll help define how payroll data is ingested, materialized, aggregated, and queried across both real-time and batch systems.
- You will be a technical leader on a team responsible for foundational pipelines, unified data access layers, and platform capabilities that downstream teams (Tax, Accounting, Reporting, AI, Object Graph) depend on.
- We’re looking for an engineer with strong architectural judgment who enjoys solving complex data and interoperability problems, cares deeply about correctness and observability, and thrives in environments where platform reliability is mission-critical.
- You will architect and build core data systems, define the unified query layer, own end-to-end data pipelines, lead non-functional excellence, solve deep interoperability problems, provide technical leadership and mentorship, and partner cross-functionally with product, platform, AI, and other payroll teams.
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Requirements
- 8+ years of professional software engineering experience, with demonstrated impact on complex backend or data-intensive systems.
- Strong data infrastructure background, including experience with data pipelines, ETL/ELT systems, or large-scale data platforms.
- Expertise in distributed systems, with an understanding of tradeoffs across batch vs. real-time processing, data materialization, and aggregation strategies.
- Proficiency in a modern backend language (e.g., Go, Java, Python) and comfort working across multiple systems and services.
- Experience with transactional and analytical data stores, and optimizing schemas and queries for correctness and performance.
- Platform mindset, with a track record of building reusable abstractions and primitives consumed by many teams or products.
- Operational rigor, including hands-on experience designing for observability, reliability, and debuggability in production systems.
- Strong communication skills, with the ability to clearly articulate complex technical concepts and influence design decisions across teams.
- Ownership and autonomy, balanced with collaboration—comfortable leading large initiatives while partnering effectively with others.
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Benefits
- Competitive salary
- Benefits
- Equity
- Health insurance
- Retirement plans
- Paid time off (PTO)
- Parental leave
- Flexible work arrangements
- In-office work at least three days a week for office-based employees