Samsara
Data Engineer
Remote - Canada +1 · Remote · Full-time · Posted Oct 5, 2026
- Location
- Remote - Canada
Remote - SF Bay Area - Experience
- 4+ years in a data engineering-focused role.
- Education
- BA / MS degree in Computer Science, Statistics, or a related discipline.
- Visa sponsorship
- All offers of employment are contingent upon the individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
About the job
Designs and maintains data pipelines and computed tables in Samsara’s central data lake, transforming IoT and product data to support analytics, model training, and dashboards.
What you'll do
- Build and maintain reliable computed tables and pipelines using data from internal and external sources, including unstructured data.
- Integrate external datasets with internal data and deliver high-quality, reliable datasets, including customer-facing datasets.
- Collaborate with Data Science & Analytics, AI/ML, and data engineering teams to provide data for analysis, model training, and dashboards.
What they ask for
- BA / MS degree in Computer Science, Statistics, or a related discipline.
- 4+ years experience in a data engineering-focused role and demonstrated experience designing data models at scale.
- Proficiency building ETL pipelines for large volumes of data; experience with Spark-based data platforms and a data orchestration tool.
- Expertise in SQL, Python, and REST APIs; familiarity with software engineering fundamentals and 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 in a public cloud; exposure to first-party product data models or complex data such as ML outputs and client-side signals.
Pay
$110,500 — $143,000 CAD (annual base salary)
Tools
SparkSQL, Pyspark, Airflow, Dagster, Prefect, SQL, Python, REST APIs
AI focus
Pipelines provide data for model training and support collaboration with AI/ML teams; preferred experience includes complex data such as ML outputs.
Model-written summary · the original posting is authoritative