> Markdown version of [/jobs/ext/3469503-senior-software-engineer-backend-data-cloud](https://www.wearedevelopers.com/jobs/ext/3469503-senior-software-engineer-backend-data-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Backend - Data Cloud - **Company:** CO-RIPPLING LLC - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $168,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Data Analysis, Big Data, Cloud Computing, Data Retrieval, Data Security, Query Languages, Distributed Data Store, Python (Programming Language), MongoDB, Data Ingestion, Backend, Data Lakes, Apache Flink, Data Analytics, Apache Kafka, Data Management, Presto, Programming Languages - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=03312704245962a9 ## About the Role * 6+ years experience in backend engineering roles * Experience writing testable and performant backend code * Experience working in a fast-paced, dynamic environment * Experience mentoring less-experienced developers * Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions ## Description 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. It's 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., * 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. What You'll Do * Work on distributed processing engines and distributed databases * Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka * Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more. * Build custom programming languages within the Rippling Platform * Create data platforms, data lakes, and data ingestion systems that work at scale * Design, develop, code, and test software systems, improvements, products, and user-facing experiences * Work alongside software architects and senior developers doing state-of-the-art development work * Contribute to product design and implementation discussions * Find and build unique solutions to implement projects from the idea phase to production ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)