Remote Data Engineer - IoT Data Pipelines & Spark

Samsara; Toronto; Remote; CAD 111,000 - 143,000; Full time

Job summary

Samsara is seeking a Data Engineer in Canada to join our Data team. You will design and maintain data pipelines in a central data lake, using SparkSQL and PySpark to ingest and transform IoT device data and software product data into our core data model for analytics and dashboards.

Join a team of Data Scientists, Data Analysts, and fellow Data Engineers, collaborating with cross‑functional groups to ensure high-quality data, robust reliability, and scalable data solutions across core platforms.

Qualifications

• BA / MS degree in Computer Science, Statistics, or a related discipline.
• 4+ years experience in a data engineering-focused role.
• Designing data models at scale.
• 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.

Responsibilities

• Build and maintain highly reliable computed tables, integrating data from multiple sources including unstructured data.
• Access, manipulate, and integrate external datasets with internal data.
• Deliver high-quality data with strong uptime and reliability for customer-facing datasets.
• Collaborate with Data Science, Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse uses.
• Champion Samsara’s cultural principles as the company scales globally.

Skills

Data modeling

ETL pipelines

SparkSQL

PySpark

REST APIs

Python

Education

BA / MS in Computer Science / Statistics

Tools

Airflow

Dagster

Prefect

Spark-based data platforms

Git/GitHub

Job description

Samsara is seeking a Data Engineer in Canada to join our Data team. You will design and maintain data pipelines in a central data lake, using SparkSQL and PySpark to ingest and transform IoT device data and software product data into our core data model for analytics and dashboards.

Join a team of Data Scientists, Data Analysts, and fellow Data Engineers, collaborating with cross‑functional groups to ensure high-quality data, robust reliability, and scalable data solutions across core platforms.