Rippling

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, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes.. 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. A huge plus if you are proficient in Python, Django, SQL and MongoDB

senior software engineer

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, 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 [redacted] addresses. About The Role The Data Bridge team at Rippling is assembling founding members to build data systems that will power ML models and new product lines. Positioned at the core of Rippling's compound startup strategy, our team is a critical platform unit. We're set to build advanced data systems, enabling Rippling to exceed its current 500+ integrations and solidify its reputation as the go-to for launching groundbreaking HR, IT, and Benefits products. As the market increasingly rewards organizations that own scaled distribution networks, control extensive data sets, and rapidly bring products to market, Rippling and the Data Bridge team are poised to lead. If you are serious about your craft, eager to establish infrastructure with a long-term impact, and have a focused approach to delivering substantial value quickly, we'd love to have you on the Data Bridge team at Rippling. What You'll Do: <ul><li>Lead mission-critical projects and deliver data ingestions capabilities end-to-end with high quality</li><li>Have clear ownership of one or many products, APIs or platform spaces</li><li>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</li><li>Get exposure to partners and customers in different business domains, who will help provide feedback for your product space</li><li>Ensure operational excellence and scale the platform capabilities to serve many different UCs across Rippling Products.</li><li>Build and grow your engineering skills in different challenging areas and solve hard technical problems</li><li>Influence architecture, technology selections, and trends of the whole company</li></ul> Qualifications: <ul><li>6+ years of professional work experience</li><li>Experience building large-scale user-facing applications, APIs, and developer tools</li><li>Expertise in building complex distributed services with high availability and strict SLAs</li><li>Strong CS fundamentals, and knowledge of architecture and common design patterns</li><li>You're good at cross-functional communication with product managers, designers, etc</li><li>You're passionate about being in a product-focused environment where everyone cares deeply about customer impact</li><li>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</li><li>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</li><li>A huge plus if you are proficient in Python, Django, SQL and MongoDB</li><li>Bonus points if you're familiar with SSO with SAML and/or OIDC protocols</li><li>Bonus points if you've built integrations with 3rd party SaaS provides and workflow orchestration systems</li><li>Bonus points if you've previously worked with AWS and have working knowledge of observability tooling</li></ul> The pay range for this role is: 135,000 - 236,250 USD per year (US Tier 1)

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