Senior Software Engineer – Data Platform

Senior Software Engineer – Data Platform (Remote, US)

Samsara (NYSE: IOT) is seeking a Senior Software Engineer to join our Data Platform team. We are the pioneers of the Connected Operations™ Cloud, a platform that leverages IoT data to provide actionable insights and improve operations for industries crucial to the global economy. If you're passionate about transforming physical operations at scale and building foundational data infrastructure, this role is for you.

This is a specialized software engineering role focused on data infrastructure, not analytics or business data engineering.

About the Role

The Data Platform team owns and develops the core analytical platform at Samsara. We build and maintain the infrastructure powering our data lake, distributed compute platform, and the systems that move data from our production data stores into our lakehouse.

As a Senior Software Engineer on this team, you will design, build, and operate reliable, scalable, and secure infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. You will work on foundational systems that empower engineers, data scientists, analysts, and product teams across Samsara to build customer-facing features, train models, develop operational insights, and support our long-term AI and analytics roadmap.

You will work with systems such as Spark and Databricks infrastructure, Delta Lake on S3, data replication from primary data stores (e.g., RDS, DynamoDB), orchestration and metadata services, internal data libraries, and tooling across the big data ecosystem.

This is a remote position open to candidates residing in the US.

Key Responsibilities

• Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores into our data lakehouse.
• Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data for analytics, AI, product, and operational use cases.
• Improve the reliability, observability, scalability, security, and developer experience of Samsara’s Spark and Databricks-based data processing platform.
• Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to facilitate efficient and safe data movement, processing, discovery, and access.
• Work on foundational data lake and lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation.
• Collaborate closely with infrastructure, product engineering, data science, analytics, security, and data engineering teams to understand platform needs and deliver scalable solutions.
• Stay abreast of modern data platform technologies and contribute to shaping Samsara’s long-term data infrastructure roadmap.
• Champion and embody Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

Minimum Requirements

• 4+ years of professional software engineering experience in production environments.
• 4+ years of experience building or maintaining large-scale production data infrastructure, data platforms, distributed systems, or data lake systems.
• Strong experience with Apache Spark or similar distributed data processing systems.
• Experience operating production infrastructure in AWS, including services such as S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar.
• Experience designing, building, and operating reliable systems with a focus on scalability, observability, security, and operational excellence.
• Proficiency in at least one production programming language such as Go, Python, Scala, or Java.
• Ability to collaborate effectively with cross-functional partners.

Preferred Qualifications

• Experience with Databricks, Delta Lake, or similar lakehouse technologies.
• Experience building data replication or ingestion systems from OLTP data stores.
• Experience with Infrastructure-as-Code tools (e.g., Terraform, CloudFormation).
• Familiarity with data catalogs, metadata systems, and data discovery tools.
• Experience with orchestration systems (e.g., Airflow, Dagster, Prefect).
• Experience with streaming data or event-driven architectures.
• Familiarity with containerization or orchestration technologies (e.g., Docker, Kubernetes).
• Experience building internal platforms, libraries, or developer tooling.

What We Offer

• Impactful Work: Contribute to the safety, efficiency, and sustainability of industries that power the global economy.
• Build for Scale: Work with technologies driving scalable innovation for millions of IoT devices.
• Growth Mindset: Opportunities for continuous learning and development in a dynamic environment.
• Customer Focus: Engage directly with customers and use data to drive better outcomes.
• Collaborative Culture: Be part of a team-oriented environment focused on shared success.
• Competitive Compensation: Annual base salary range of $130,900—$220,0