Data Engineer

Summary

Samsara is the pioneer of the Connected Operations Cloud, helping organizations that depend on physical operations use IoT data to improve safety, efficiency, and sustainability. The Data Engineer will design and maintain reliable data pipelines in the central data lake, transforming IoT device and software product data for analytics, model training, and dashboards. The role also involves integrating external datasets, delivering high-quality customer-facing data, and collaborating with Data Science, Analytics, AI/ML, and engineering teams.

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 (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

Skills

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

Qualifications

Must Haves

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

Nice to Haves

• 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

• 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.
• Performance-based bonus/variable pay
• Equity (for eligible roles) in a high-growth public company
• A flexible, employee-led remote model
• A professional development stipend
• Comprehensive health and parental leave plans
• Remote work where it aligns with our operational requirements