Senior Software Engineer – Data Platform

Role Overview

• Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
• Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data across Samsara’s 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 help teams across Samsara move, process, discover, and access data safely and efficiently.
• 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 durable, scalable solutions.
• Stay connected to modern data platform technologies and help shape Samsara’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products.
• 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.

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 strong ownership of 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, including software engineers, data scientists, analysts, security teams, and product stakeholders.

Tech Stack

• Apache
• AWS
• Distributed Systems
• DynamoDB
• Java
• Python
• Scala
• Spark
• Go

Benefits

• A flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Initial RSU grant with no vesting cliff
• Ongoing refresh opportunities tied to performance