IoT Data Engineer – Spark & ETL Pipelines (Remote)

Samsara Inc.; Canada; Remote; CAD 111,000 - 143,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Samsara Inc. in Canada is seeking a Data Engineer to join our Data team. You will design and maintain data pipelines using SparkSQL and PySpark in our central data lake, transforming data from IoT devices into our core data model for analytics and dashboards.

This remote role allows Canada-residing candidates and offers a flexible, remote-friendly environment with opportunities to collaborate across Data Science, Analytics, and AI/ML teams, driving reliable, scalable data solutions.

Qualifications

• BA/MS in CS, Statistics, or related field.
• 4+ years in a data engineering-focused role.
• Experience designing data models at scale.
• Proficiency in ETL pipelines for large data volumes.
• Experience with Spark-based data platforms.
• Strong SQL, Python, and REST APIs.
• Familiarity with version control (Git/GitHub).

Responsibilities

• Design and maintain scalable data pipelines in a central data lake.
• Ingest and transform data from IoT devices and software products.
• Collaborate with Data Science, Analytics, AI/ML, and other Engineers.
• Ensure high data quality and uptime for customer-facing datasets.
• Promote Samsara’s cultural principles while scaling globally.

Skills

SparkSQL

PySpark

SQL

Python

REST APIs

Airflow

Dagster

Prefect

Data modeling

ETL pipelines

Git/GitHub

Spark

Education

BA / MS in Computer Science, Statistics, or related

Tools

Databricks

Airflow

Dagster

Prefect

GitHub

Job description

Samsara Inc. in Canada is seeking a Data Engineer to join our Data team. You will design and maintain data pipelines using SparkSQL and PySpark in our central data lake, transforming data from IoT devices into our core data model for analytics and dashboards.

This remote role allows Canada-residing candidates and offers a flexible, remote-friendly environment with opportunities to collaborate across Data Science, Analytics, and AI/ML teams, driving reliable, scalable data solutions.