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Salary: USD 99,365 - 167,000 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness Internet of Things (IoT) data to develop actionable insights and improve operations. The company helps digitally transform industries including agriculture, construction, field services, transportation, and manufacturing—representing over 40% of global GDP.
You will join the Data team as a Data Engineer, working alongside Data Scientists, Data Analysts, and other Data Engineers. Your primary responsibility is designing and maintaining data pipelines that ingest and transform source data from IoT devices and software products into the core data model, enabling statistical analysis, model training, and dashboard creation. You will primarily use SparkSQL and PySpark within the central data lake.
Key responsibilities:
- Build and maintain highly reliable computed tables incorporating data from various sources, including unstructured data (video, audio), 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 requirements, including customer-facing datasets.
- Collaborate closely with cross-functional teams (Data Science, Analytics, AI/ML, other Data Engineers) to ensure high-quality data for causal inference, model training, and dashboarding.
- Champion and embed Samsara's cultural principles as the company scales globally.
This is a fully remote position open to US-based candidates. Relocation assistance is not provided.
REQUIREMENTS:
Minimum:
- BA/MS degree in Computer Science, Statistics, or related discipline
- 4+ years experience in a data engineering-focused role
- Demonstrated experience 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 (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 (Git/GitHub)
Ideal to have:
- Familiarity with time series data and late-arriving data
- Knowledge of Databricks, Delta Lakes, and Dagster
- Previous experience working in public cloud (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
