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Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness IoT data for actionable insights across physical operations including agriculture, construction, field services, transportation, and manufacturing.
The Data & Analytics team is a critical function within Business Technology, responsible for building integrated data layers, infrastructure, and tools that enable data-driven decision-making across the company. The team comprises data engineers, architects, analysts, and data scientists working collaboratively in an agile, experimental environment.
As a Senior Data Engineer, you will bring a software engineer's mindset to data infrastructure—architecting systems rather than just building pipelines. You'll design data platforms as products, focusing on developer experience and extensibility. Key responsibilities include:
**Data Platform Engineering:**
- Develop and maintain end-to-end data pipelines and backend ingestion workflows
- Participate in building Samsara's Data Platform to enable advanced automation and analytics
- Work with diverse data sources: ERP (NetSuite), CRM (Salesforce), product data, order flow, and support tickets
- Manage critical pipelines supporting growth initiatives and advanced analytics
- Facilitate data integration and transformation between applications and the data lake
- Improve data architecture, quality, monitoring, observability, and availability
- Write SQL/Python transformations generating data products for Analytics, Marketing Operations, and Sales Operations teams
**Spark & Distributed Systems:**
- Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing
- Work across Databricks and cloud environments at scale
**AI-Augmented Engineering:**
- Build next-generation intelligent tooling including MCP servers and AI agents that automate and accelerate data engineering workflows
- Push boundaries of data engineering in an AI-first world
You should apply if you want to impact industries powering the global economy, think about data infrastructure as a product, care deeply about developer experience, and are excited about AI-augmented engineering. This role offers autonomy, support, and rapid career development within a hyper-growth, recently public company.
