Data Engineer

Samsara; United States; Remote; USD 99,000 - 167,000; Full time

Job summary

Samsara is seeking a Data Engineer to design and maintain data pipelines in SparkSQL/PySpark within a central data lake. You’ll ingest data from IoT devices and software into a core data model to enable analytics, modeling, and dashboards. This is a remote role for candidates in the United States, with relocation not provided.

You’ll work with Data Science, Analytics, and other Engineers to ensure high-quality, reliable data while upholding Samsara’s customer-centric culture and long-term focus.

Qualifications

• BA / MS in CS, statistics, or related field.
• 4+ years in a data engineering-focused role.
• Experience designing data models at scale.
• Proficiency building ETL pipelines for large data volumes.
• Experience with Spark-based data platforms.
• Strong SQL, Python, and REST API skills.
• Familiarity with Git/GitHub.
• Experience with data orchestration tools like Airflow, Dagster, or Prefect.

Responsibilities

• Build and maintain highly reliable computed tables from diverse sources.
• Access, manipulate, and integrate external datasets with internal data.
• Deliver high-quality data with uptime and reliability for customer datasets.
• Collaborate with Data Science, Analytics, AI/ML, and other Data Engineers on data for modeling and dashboards.
• Champion Samsara cultural principles and scalable data practices.

Skills

SQL

Python

Data modeling

ETL pipelines

Airflow

Education

BA/MS in Computer Science or related field

Tools

Spark

SparkSQL

Databricks

Dagster

Prefect

Airflow

Job description

Who we are

the company (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At the company, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at the company means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

the company is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model.

As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation.

This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.

• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.

• You believe customers are more than a number: the company engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.

• You are a team player:Working on our the company Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.

In this role, you will:

• Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, the company 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 the company’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 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 (e.g 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.

An ideal candidate also has:

• Familiarity with time series data and late‑arriving data.

• Knowledge of Databricks, Delta Lakes, and Dagster.

• Previous experience working in a public cloud (e.g 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.

The range of annual base salary for full‑time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job‑related knowledge, skills, and experience. This role is also 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.

Annual Base Salary

$99,365—$167,000 USD

Total Rewards

At the company, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high‑impact builders. Our compensation program delivers above‑market total compensation through a combination of base salary, performance‑based bonus/variable pay, and equity (for eligible roles) in a high‑growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above‑market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long‑term success: a flexible, employee‑led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At the company, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in‑person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on‑site, in a hybrid model, or fully remotely. All offe