Data Engineer

Samsara

. Design and maintain data pipelines, primarily using SparkSQL and PySpark, within the central data lake .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $99,365 - $167,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines using SparkSQL and PySpark, with a strong focus on building ETL processes and data models at scale. Proficient in SQL, Python, and data orchestration tools, while ensuring high-quality data delivery for analytics and model training.

Highest-signal resume keywords

Data Pipeline DesignETL Pipeline DevelopmentSparkSQL and PySparkData Orchestration ToolsSQL and Python Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL DevelopmentSparkSQLPySparkSQLPythonREST APIsVersion Control (Git/GitHub)Time Series DataData Transformation

Soft Skills

CollaborationProblem-SolvingCultural Principles Advocacy

Tools & Technologies

AirflowDagsterPrefectDatabricksDelta LakesAWSGCPAzure

Industry Keywords

Data EngineeringIoT DataUnstructured DataCausal InferenceModel TrainingDashboardingClient-Side Signals

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformIoTPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design and maintain data pipelines, primarily using SparkSQL and PySpark, within the central data lake
Ingest and transform source data from IoT devices and software products into the core data model
Build and maintain highly reliable computed tables using unstructured data, Samsara sensor and product data, and customer metadata
Access, manipulate, and integrate external datasets with internal data
Deliver high-quality data with strong uptime and reliability, including customer-facing datasets
Collaborate with Data Science & Analytics, AI/ML, and other Data Engineers
Provide high-quality data for causal inference, model training, and dashboarding
Champion and embed Samsara’s cultural principles as the company scales globally

Requirements

What you’ll need

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, such as 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
Relocation assistance will not be provided
Must maintain the legal right to work at the company and in the specified work location
Familiarity with time series data and late-arriving data
Knowledge of Databricks, Delta Lakes, and Dagster
Previous experience working in a public cloud, such as AWS, GCP, or 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

Benefits

Comp & perks

Initial RSU grant with no vesting cliff
Ongoing equity refresh opportunities tied to performance
Performance-based bonus/variable pay
Equity for eligible roles
Flexible, employee-led remote model
Professional development stipend
Comprehensive health plans
Parental leave plans
Above-market total compensation opportunities