Rippling

Senior Software Engineer, Backend Full Stack - Data Cloud

Seattle, WA · Senior

Sponsorship not specifiedDetected 9 days ago

PythonReactDjangoFull-Stack DevelopmentSQLRESTCommunication

About the role

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.

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.
Play an active role in building a culture of excellence within our product and engineering teams.
build dashboards from scratch using natural language prompts
you care about design and user experience and are quick to identify how these could be improved.

parameters, SQL queries, and the ability to incorporate third-party data Why this matters Most HR/Finance systems weren't built for AI.
What you will need 5+ years of experience in a production environment using Python, Django, or related technologies.

About Rippling Rippling gives businesses one place to run HR, IT, and Finance.
Take onboarding, for example.
Please be aware that all official communication will only be sent from @ Rippling.com addresses.
It preserves and enriches data context to enable precise and accurate answers to your most important and nuanced business questions.
It's a complete data stack including data connectors, transformations, visualizations, AI-powered analytics, and even inbound Zero-Copy.
That makes it possible to ask questions that traditional BI systems struggle to answer correctly.
Data Cloud as the foundation for Rippling AI Data Cloud and AI are deeply connected in Rippling.
Data Cloud is the data infrastructure layer that powers Rippling AI.

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.

This role will receive a competitive salary + benefits + equity.
Move quickly and confidently, making smart decisions to fill in the gaps where product details aren't fully defined-always learning from user feedback.

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.
Familiarity in frontend development with React or typescript.
Exposure and hands on experience with systems operating at a significant technical and organizational scale

Experience shipping complex projects Deep understanding of CS/algorithms fundamentals Strong communication skills with a variety of stakeholders Additional Information Rippling is an equal opportunity employer.
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.
equal opportunity employer.

This listing is sourced directly from Rippling's careers page and normalized into a canonical job model.