Senior Data Engineer

Details

• 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 want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• 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: Samsara 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 Samsara 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.
• 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.
• 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.