Data Engineer
US · SF Bay Area · USD 99,365-167,000 / year · 4+ years experience · Remote · Posted Oct 5, 2026
At a glance
- Experience
- 4+ years experience
- Workplace
- Remote
- Location
- US · SF Bay Area
- Salary
- USD 99,365-167,000 / year · Base salary
About the role
- Samsara is seeking a Data Engineer to join the Data team, which comprises Data Scientists, Data Analysts, and Data Engineers.
- Data engineers develop and maintain data pipelines integral to the analytics data model.
- The primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within the central data lake.
Responsibilities
- Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara 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 Samsara’s cultural principles as the company scales globally and across new offices.
Requirements
- 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.
Preferred qualifications
- 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.
Benefits
- Initial RSU grant with no vesting cliff
- Ongoing refresh opportunities tied to performance
- Performance-based bonus/variable pay
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
Workplace
- This is a remote position open to candidates residing in the US.
Skills
- SparkSQL
- Pyspark
- Spark
- Airflow
- Dagster
- Prefect
- SQL
- Python
- REST APIs
- Git
- GitHub
- Databricks
Show all 15 skills
- Delta Lakes
- AWS
- GCP
