Senior Data Engineer

Samsara

Senior Data Engineer II at Samsara developing data APIs and managing large data workflows. Focused on building platforms and intelligent tooling in an AI-first environment.

Posted 7/11/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $134,470 - $203,400 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureBigQueryCloudERPETLGoogle Cloud PlatformMS SQL ServerMySQLOraclePostgresPySparkPythonRDBMSSparkSplunkSQL

About the role

Key responsibilities & impact

Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics.
Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data.
Manage critical data pipelines to enable growth initiatives and advanced analytics.
Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake.
Develop and improve data architecture, data quality, monitoring, observability, and data availability.
Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams.
Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments.
Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency.
Design, build, and manage data APIs in python using frameworks such as FastAPI.
Manage API runtime in AWS ecosystems- Lambda and RDS.
Monitor and optimize API , track observability via tools such as Data Dog or Splunk.
Champion, role model, and embed Samsara's cultural principles as we scale globally.
Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams.

Requirements

What you’ll need

Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program.
10+ years of work experience as a Software Engineer with data focus or as Data Engineer.
8+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling.
5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning.
3+ years of hands-on experience developing and managing APIs, preferably in python.
Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg).
Exposure to ETL tools such as Fivetran, DBT, or equivalent.
API experience: Python-based API frameworks , API management tools.
RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent.
Cloud: AWS, Azure, and/or GCP.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLSparkPySparkData ModelingAPI DevelopmentETL ToolsData ArchitectureData QualityMonitoring and Observability

Soft Skills

MentorshipTechnical GuidanceCollaboration