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Senior Software Engineer - Data Platform

Remote, USA Full-time Posted 2025-05-22

Job title: Senior Software Engineer - Data Platform in San Francisco, CA at Samsara


Company: Samsara


Job description: About the role:The Samsara Data Platform team builds core infrastructure to enable the business to make data-driven products and decisions. As a Senior Data Platform Engineer, you will contribute to a scalable and reliable data platform to meet the data needs of everyone at Samsara - engineers, data scientists, product managers, and moreYou will work on Big Data cloud infrastructure that enables Samsara to make critical business conclusions and enables us to explore new product directions. You will:


  • Lift a broad set of production data into a centralized data lake, and scale that data storage layer as the company grows

  • Enable large scale analytical reporting in our products, integrating the data platform and data science work into the full stack engineering space.

  • Build tools (e.g. orchestration frameworks, metadata catalogs) that democratize the use of data for the whole business, including software engineers, data engineers, and data scientists

  • Optimize our compute layer for reliability and performance (Spark/Databricks on EC2)

This is a remote position open to candidates based in the United States. Relocation assistance will not be provided for this role.You should apply if:

  • 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.

In this role, you will:

  • Collaborate cross-functionally to design and implement end-to-end solutions using technologies like Spark, Delta Lake, and Golang.

  • Develop high-performance APIs and interfaces to bring data insights to life for Samsara customers.

  • Optimize data workflows and infrastructure for scalability, reliability, and speed.

  • Design, scope, and build libraries and data management tooling for other software engineers, product managers and data scientists to use the data platform effectively

  • Be responsible for the uptime, reliability, and monitoring of our data platform

  • 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.

Minimum requirements for the role:

  • 4+ year professional software experience in a production environment

  • 4+ years experience on building/maintaining a large scale production-grade data platform (including a Data Lake) for data scientists, analysts, and engineers

  • Expertise working with Spark

  • AWS knowledge and expertise (S3, Lambda, SQS, Kinesis)

An ideal candidate also has:

  • Experience with our core tech stack for data platform: Spark (Databricks), Delta Lake, or similar technologies (e.g Trino, Iceberg)

  • Familiarity using Terraform


Expected salary:


Location: San Francisco, CA


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