Senior Data Engineer I

About the Role Samsara is seeking a Senior Data Engineer to join our Data team, comprised of Data Scientists, Data Analysts, and Data Engineers. You will design and maintain data pipelines in our central data lake, primarily using SparkSQL and PySpark, to ingest and transform data from IoT devices and Samsara software products into our core data model for analytics, model training, and dashboards. This is a remote position open to candidates in Canada. What You'll Do

• 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). What We're Looking For
• BA / MS 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 (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. Nice to Have
• Familiarity with time series data and late-arriving data.
• Knowledge of Databricks, Delta Lakes, and Dagster.
• Previous experience working in a public cloud (AWS, GCP, Azure).
• Exposure working on a data model for a product’s first-party data.
• Exposure to complex data, including ML outputs and/or client-side signals. Compensation & Benefits
• Annual Base Salary CAD 135,575—159,500.
• This role is 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.