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Senior Data Engineer II

Samsara· Business Systems
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Hybrid (Remote - US)$134.5k - $203.4kFull-timePosted 2mo ago

About the role

Senior-level data engineering role focusing on building scalable data platforms, APIs, and AI-enabled data workflows in Samsara’s Data Platform. Emphasizes systems thinking, platform thinking, and collaboration across cross-functional teams to enable data-driven decisions and AI-native tooling.

Responsibilities

  • 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 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 DataDog or Splunk.
  • Production Support - participate in on-call rotations and act as technical escalation point of contact for data quality issues, API uptimes, etc.
  • Define and enforce data engineering standards, patterns, and best practices across the team.
  • Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes.
  • Collaborate with platform and infrastructure teams to evolve the underlying architecture of Samsara's enterprise data ecosystem.
  • Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models and internal tooling.
  • Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle.
  • Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work.
  • 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.
  • Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
  • Lead end-to-end projects as the central point of contact for stakeholders.

Qualifications

  • 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.
  • Core Engineering Fundamentals: 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.

Skills

Required:PythonSQLSpark / PySparkData ModelingAPI Development (FastAPI)AWSDatabricks

Benefits

  • Flexible, employee-led remote model
  • Professional development stipend
  • Comprehensive health and parental leave plans
  • Total rewards including base salary, bonus/variable pay, and equity (for eligible roles)
  • Remote-friendly work environment
Last updated Oct 10, 2026. Interested? Apply on the company site.

About Samsara

Samsara | The Connected Operations Platform

Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.

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