Senior Data Engineer - Analytics

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Join Samsara: Pioneers of the Connected Operations™ Cloud

Who We Are:

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud. This platform empowers organizations dependent on physical operations to leverage Internet of Things (IoT) data for actionable insights and improved efficiency. At Samsara, we are committed to enhancing the safety, efficiency, and sustainability of the industries that drive the global economy, including agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally transform these crucial sectors at scale.

Joining Samsara means shaping the future of physical operations as part of an innovative team developing a range of product solutions, such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As a recently public company, we offer the autonomy and support needed to make a significant impact for the long term.

About the Role

We are looking for a Senior Data Engineer to join our Data Tools team, comprised of both Software Engineers and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness at Samsara.

Key Responsibilities:

  • Design and maintain data pipelines using SparkSQL and Pyspark within our central data lake.
  • Ingest and transform source data from our IoT devices and software products into our core data model.
  • Facilitate statistical analysis, model training, and dashboard creation.
  • Collaborate closely with cross-functional teams including Data Science & Analytics, AI/ML, and other Data Engineers.
  • 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).

Location Eligibility: This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

Why You Should Apply:

If you are passionate about impacting crucial industries, building your career, and working with a high-caliber team, Samsara is the right place for you. Your efforts will help ensure safety, efficiency, and sustainability in various sectors, with ample opportunities for career growth in our hyper-growth environment.

Minimum Requirements:

  • BA/MS degree in Computer Science, Statistics, or related discipline.
  • 4+ years of experience in a data engineering-focused role.
  • Experience designing data models at scale and building ETL pipelines for large volumes of data.
  • Proficiency with Spark-based data platforms and data orchestration tools (e.g., Airflow, Dagster, or Prefect).
  • Expertise in SQL, Python, and working with REST APIs.
  • Familiarity with software engineering fundamentals and version control systems such as Git/GitHub.

Ideal Candidate Will Also Have:

  • Familiarity with time series data and late-arriving data.
  • Knowledge of Databricks, Delta Lakes, and Dagster.
  • Experience working in public cloud environments (e.g., AWS, GCP, Azure).
  • Exposure to complex data, including ML outputs and client-side signals.

Compensation and Benefits

Samsara’s compensation program is designed to deliver Total Direct Compensation (based on role, level, and geography) at or above market standards. This includes base salary, bonus or variable pay, and restricted stock unit awards (RSUs) for eligible roles. Our top performers receive above-market equity refresh awards, achieving higher market positioning. The annual base salary range for this position is $123,046—$206,800 USD, depending on factors like location, job-related knowledge, and experience.

Full-time employees benefit from a competitive compensation package, remote and flexible working options, health benefits, and access to our Samsara for Good charity fund. Visit our to learn more.

Diversity and Inclusion

At Samsara, everyone is welcomed, regardless of background. All qualified applicants will receive consideration for employment without regard