Senior Data Engineer II

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the Role

The data and AI team is a critical function within Business Technology. Our mission is to enable integrated data layers for all of Samsara with the insights, tools, infrastructure to make data-driven decisions. We are a growing team that loves all things data — composed of data engineers, AI engineers, architects, analysts, and data scientists.

We are looking for a Senior Data Engineer II who brings a software engineer's mindset to data infrastructure. This isn't just a pipeline-builder role — we're looking for someone who thinks in systems, builds platforms others can extend, and is excited about pushing the boundaries of what data engineering looks like in an AI-first world. You'll manage data APIs, architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent tooling including MCP servers and AI agents that automate and accelerate data engineering workflows.

Our team promotes an agile, collaborative, and supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.

This role is open to candidates residing in the US and Canada except the San Francisco Bay Area and New York Metro City.

You Should Apply If

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development and mastery in a hyper-growth environment.

You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas.

You want to build platforms, not just pipelines: You think about data infrastructure as a product, care deeply about developer experience, and want to shape how an engineering team works with data at scale.

You're excited about AI-augmented engineering: You want to be at the frontier of how AI agents and intelligent tooling change the way data engineers work.

In This Role, You Will:

Data Engineering

Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics.

Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data.

Manage critical data pipelines to enable growth initiatives and advanced analytics.

Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake.

Develop and improve data architecture, data quality, monitoring, observability, and data availability.

Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams.

Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments.

Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency.