Senior Software Engineer, Data Bridge
Rippling
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