Senior Software Engineer - Data Platform

Samsara
United States
Workplace: RemoteFull timeUSD 130,900 - 220,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Spark","Databricks","Delta Lake","S3","RDS","DynamoDB","SQS","Kinesis","Lambda","Go","Python","Scala","Java","Airflow","Dagster","Docker","Kubernetes","Terraform","CloudFormation","Unity Catalog"]

Senior Software Engineer I on the Data Platform team building and operating core data infrastructure. Design, implement, and maintain scalable ingestion, replication, and lakehouse tooling (Spark/Databricks on AWS) that powers analytics, AI, and product teams, with a focus on reliability, security, and developer experience. Remote role open to US residents, with collaboration across infrastructure, data science, and security teams.

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FursaFursa
Samsara
Samsara
2 months ago

Senior Software Engineer - Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Senior Software Engineer I on the Data Platform team building and operating core data infrastructure. Design, implement, and maintain scalable ingestion, replication, and lakehouse tooling (Spark/Databricks on AWS) that powers analytics, AI, and product teams, with a focus on reliability, security, and developer experience. Remote role open to US residents, with collaboration across infrastructure, data science, and security teams.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 130,900 - 220,000 annually
Equity and Bonus:Equity
Perks:Remote WorkLearning BudgetHealth InsuranceParental Leave

Key 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.
  • •Proficiency in at least one production programming language such as Go, Python, Scala, or Java.
Experience:4+ yearsData platformCloudAWSSpark
Skills:SparkDatabricksDelta LakeS3RDSDynamoDBSQSKinesisLambdaGoPythonScalaJavaAirflowDagsterDockerKubernetesTerraformCloudFormationUnity Catalog
Languages:English
Tech Stack:SparkDatabricksDelta LakeS3RDSDynamoDBSQSKinesisLambdaGoPythonScalaJavaAirflowDagsterDockerKubernetesTerraformCloudFormationUnity Catalog

Company Brief

Samsara
Provides an integrated IoT platform combining hardware sensors, cameras, and cloud-based software to help businesses monitor vehicles, equipment, and operations for fleet management, safety, compliance, and operational efficiency.
Industry: Supply Chain Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn