Description
Samsara is looking for a Software Engineer to join its Data Platform team, which owns and develops the core analytical platform across Samsara.
As a Software Engineer on Data Platform, you will design, build, and operate reliable, scalable, and secure infrastructure for ingesting, processing, cataloging, and accessing petabytes of data.
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.
- 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.
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.
Nice to have:
- Experience with Databricks, Delta Lake, or similar lakehouse technologies such as Iceberg or Hudi.
- Experience building data replication or ingestion systems from OLTP data stores into a data lake or lakehouse.
- Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Familiarity with data catalogs, metadata systems, and data discovery tools such as Unity Catalog, Hive Metastore, DataHub, or Amundsen.
- Experience with orchestration systems such as Airflow, Dagster, or Prefect.
- Experience with streaming data, event-driven architectures, or systems that handle late-arriving or mutable data.
- Familiarity with containerization or orchestration technologies such as Docker, Kubernetes, ECS, or Fargate.
- Experience building internal platforms, libraries, or developer tooling used by other engineering teams.
- Experience contributing to data infrastructure roadmaps, evaluating new technologies, and driving improvements that create leverage for internal and external customers.
Compensation:
- Annual Base Salary: $113,645-$191,000 USD
- Total Rewards: Samsara provides a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more.