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Staff Software Engineer, Data Infrastructure



Software Engineering, Other Engineering
New York, NY, USA
Posted on Friday, July 21, 2023
About Rippling
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Bedrock, and Greenoaks—and was named one of America’s best startup employers by Forbes (#12 out of 500).

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. Hence, Rippling is building a customer data cloud to ingest and connect data from thousands of sources to power complex workflows, approvals, permissions, dashboards and reports.

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, Kafka, Apache Pinot and Apache Presto for OLAP, and S3 and Snowflake for data lake and warehousing.

What You'll Do:

  • Lead our data processing and streaming platform (Kafka, Spark, Flink, Airflow, In-house grown workflow solutions) to solve various data processing needs by ML and Product teams

  • Work closely with our ML engineers to understand their offline and online data processing needs and propose the right solutions for them

  • Work on our data replication streaming platform (Kafka, Kafka Connectors) to build a polyglot self serve data platform to replicate data across various data stores (Apache Pinot, ElasticSearch etc.) to solve various product team needs at very high scale

  • Evaluate closed and open source data technologies to support Rippling’s exponential growth


  • 8+ years of professional work experience.

  • Experience working in a fast-paced, dynamic environment.

  • Experience in building projects with the right user abstractions and architecture.

  • Comfortable developing scalable and extendable core services used in many products.

Additional Information

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 40 mile radius of a Rippling office), Rippling considers working in the office, at least three times a week under current policy, to be an essential function of the employee's 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 someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.