Senior Software Engineer, Data Bridge

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

The Data Bridge team at Rippling enables our customers to ingest data from hundreds of 3rd party applications into Rippling, and combine it with Rippling core identity data to provide a single pane of glass into how a company functions.

Engineers on this team will work with our data cloud and reporting teams, and our applied machine learning teams to build AI-driven products that help teams operate efficiently.

What You'll Do :

Lead mission-critical projects and deliver data ingestions capabilities end-to-end with high quality

Have clear ownership of one or many products, APIs or platform spaces

Work within Rippling's central infrastructure team, responsible for delivering highly scalable distributed data ingestion systems, build a data lake architecture for various downstream systems to consume

Get exposure to partners and customers in different business domains, who will help provide feedback for your product space

Ensure operational excellence and scale the platform capabilities to serve many different UCs across Rippling Products.

Build and grow your engineering skills in different challenging areas and solve hard technical problems

Influence architecture, technology selections, and trends of the whole company

Qualifications :

6+ years of professional work experience

Experience building large-scale user-facing applications, APIs, and developer tools

Expertise in building complex distributed services with high availability and strict SLAs

Strong CS fundamentals, and knowledge of architecture and common design patterns

You’re good at cross-functional communication with product managers, designers, etc

You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact

You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink.

Databricks experience is a plus

Experienced in working within diverse teams of engineers, data scientists, and analysts to implement and maintain high-performance data-processing and data integration systems on top of data lake architecture

A huge plus if you are proficient in Python, Django, SQL and MongoDB

Bonus points if you’re familiar with SSO with SAML and / or OIDC protocols

Bonus points if you’ve built integrations with 3rd party SaaS provides and workflow orchestration systems

Bonus points if you’ve previously worked with AWS and have working knowledge of observability tooling