Senior Data Engineer

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: Data and Analytics is a critical team 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, architects, analysts, and data scientists. We are looking for a Senior Data Engineer 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 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 is a remote position open to candidates residing in Canada. 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 Platform 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. Spark & Distributed Systems 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. Platform & Systems Thinking Define and enforce data engineering standards, patterns, and best practices across the team. Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes. Collaborate with platform and infrastructure teams to evolve the underlying architecture of Samsara's enterprise data ecosystem. MCP Servers & AI Agents Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models and internal tooling. Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle. Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work. Leadership & Collaboration Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally. Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams. Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions. Lead end-to-end projects as the central point of contact for stakeholders. Minimum requirements for the role: Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program. 8+ years of work experience as a Software Engineer with data focus or as Data Engineer. 5+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling. 5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning. Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg). Exposure to ETL tools such as Fivetran, DBT, or equivalent. API experience: Python-based API frameworks for data pipeline ingestion. RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent. Cloud: AWS, Azure, and/or GCP. An ideal candidate also has experience in: Designing and governing a centralized semantic layer for reliable AI and analytics Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch, or equivalent. AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, SecretsManager. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $119,000 — $154,000 CAD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond