Senior Data Engineer

5+ 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.

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 for data pipeline ingestion.

RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent.

Data and Analytics is a critical team within Business Technology.

Our mission is to enable integrated data layers for all of Samsara with the insights, tools, infrastructure to make data-driven decisions.

We are a growing team that loves all things data — composed of data engineers, architects, analysts, and data scientists.

We are looking for a Senior Data Engineer who brings a software engineer's mindset to data infrastructure.

This isn't just a pipeline-builder role — we're looking for someone who thinks in systems, builds platforms others can extend, and is excited about pushing the boundaries of what data engineering looks like in an AI-first world.

You'll architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent tooling including MCP servers and AI agents that automate and accelerate data engineering workflows.