Senior Software Engineer – Data Platform

Samsara

Senior Software Engineer designing and operating high-scale data infrastructures at Samsara. Collaborating with cross-functional teams to drive AI and analytics roadmap.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,900 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSDistributed SystemsDynamoDBGoJavaPythonScalaSpark

About the role

Key responsibilities & impact

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 as we scale globally and across new offices.

Requirements

What you’ll need

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.

Benefits

Comp & perks

flexible, employee-led remote model
professional development stipend
comprehensive health and parental leave plans

ATS Keywords

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Hard Skills & Tools

data ingestiondata replicationdata platform infrastructureApache SparkDatabricksGoPythonDelta Lakedistributed systemsdata lake systems

Soft Skills

collaborationownershipscalabilityobservabilitysecurityoperational excellencecommunicationleadershipproblem-solvingadaptability