Senior Software Engineer, Backend Full Stack Data Cloud

Rippling Data Cloud is a new suite of products that aggregates data from across your company into Rippling connects it to worker identity and makes it available for analysis visualization and action. It preserves and enriches data context to enable precise and accurate answers to your most important and nuanced business questions.

Its a complete data stack including data connectors transformations visualizations AI-powered analytics and even inbound Zero-Copy. It understands how all of that data relates to employees managers departments locations cost centers permissions and historical changes in your ever-changing business. That makes it possible to ask questions that traditional BI systems struggle to answer correctly.

Data Cloud and AI are deeply connected in Rippling. Data Cloud is the data infrastructure layer that powers Rippling AI. Heres how they relate:

Data Cloud provides the unified data that AI reasons over:
Rippling AI leverages the Employee Graph and all platform data (payroll rules earnings types deduction logic permissions etc.) as its source of truthBecause Rippling is a unified platform rather than stitched-together acquisitions the data is clean consistent and complete which makes AI answers accurate and context-awareAI respects the same permissions model as the rest of the platform so it only surfaces data the user is authorized to see

The Rippling AI unlocks advanced Data Cloud capabilities:

• AI Dashboards: build dashboards from scratch using natural language prompts
• Transformations: full publish access
• Pipelines: ingest data via managed connectors
• Lineage & Catalog: explore data lineage for reports
• Advanced features: parameters SQL queries and the ability to incorporate third-party data

Why this matters

Most HR/Finance systems werent built for AI. Their data is messy and fragmented. Rippling AI is described as the first context-aware senior analyst for HR and Finance teams because it sits on top of a unified data model (Data Cloud Employee Graph) that actually understands your business logic end-to-end.

The team is focused on the following core domains:

• Analytics Focuses on the reporting and dashboarding products that enable users to visualize and analyze data within Rippling.
• Data Access Owns the query engine (RQL Rippling Query Language) that powers data retrieval across the platform. This area includes sub-teams responsible for query execution data ingestion and query history.
• Data Management Owns the metadata and data catalog layer including how data assets are discovered governed and documented.
• Ingest & Prep Responsible for bringing external data into Rippling. This area includes Managed Connectors (pre-built integrations with third-party systems) and Transformations (data shaping and preparation).
• Insights A newer area within Data Cloud focused on surfacing actionable insights from data.

• Develop and improve both product backend capabilities and user-facing features working across the stack to make them shine
• Collaborate closely with PMs and designers to translate complex product requirements and visual designs into responsive high-quality code.
• Move quickly and confidently making smart decisions to fill in the gaps where product details arent fully definedalways learning from user feedback.
• Play an active role in building a culture of excellence within our product and engineering teams.

• 5 years of experience in a production environment using Python Django or related technologies.
• Familiarity in frontend development with React or typescript.
• Exposure and hands on experience with systems operating at a significant technical and organizational scale
• Strong product intuition: you care about design and user experience and are quick to identify how these could be improved.
• Experience shipping complex projects
• Deep understanding of CS/algorithms fundamentals
• Strong communication skills with a variety of stakeholders

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

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 employees 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 someones compensationincluding a candidates professional background experience and location. Final offer amounts may vary from the amounts listed below.

Required Experience:

Senior IC