We provide an overview of the recently implemented Pipelines API in sparklyr, an R package for interfacing with Apache Spark. This new feature allows users to build and tune data transformation and machine learning pipelines that are interoperable with Scala and Python, simplifying handoffs between data science and data engineering. We go over the components of pipelines and walk through practical examples.