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 is the system of record for employee data - a complete Employee Management System To solve this broad problem a variety of applications and datasets need to come together as a graph connected through the employee record at its center We need a data platform to make it easy to make all forms of data accessible for different use cases perform various transformations and query efficiently for a variety of online and offline use cases You will be working on building this distributed data platform defining key APIs designing to scale high availability and handling both online streaming and batch scenarios At Rippling to support various use cases we use Redis Mongo Postgres to serve APIs Kafka for streaming Apache Pinot and Apache Presto for OLAP and S3 and Snowflake for data lake and warehousing What You ll Do Work on distributed processing engines and distributed databases Create data platforms data lakes and data ingestion systems that work at scale Write core libraries in python and golang to interact with various internal data stores Define and support internal SLAs for common data infrastructure Design develop code and test software systems improvements products and user-facing experiences Leverage big data technologies like Postgres Kafka Presto Pinot Flink Airflow Mongo Redis and Spark Explore new and upcoming data technologies to support Rippling s exponential growth Qualifications 6 years of professional work experience Experience working in a rapid paced dynamic environment Experience in building projects with good abstractions and architecture Comfortable at developing scalable and extendable core services used in many products If you don t meet all of the requirements listed here we still encourage you to apply No job description is perfect and we might find an even more suitable opportunity that matches your skills and experience