Data Engineer

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.

• Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata.
• Access, manipulate, and integrate external datasets with internal data.
• Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets.
• Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding.
• 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 and across new offices.

• BA / MS degree in Computer Science, Statistics, or a related discipline.
• 4+ years experience in a data engineering-focused role.
• Demonstrated experience in designing data models at scale.
• Proficiency in building ETL pipelines to handle large volumes of data.
• Experience with Spark-based data platforms.
• Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect).
• Expertise in SQL, Python, and working with REST APIs.
• Familiarity with software engineering fundamentals and reading backend development code.
• Experience with version control systems such as Git/GitHub.

• 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.