Senior Data Engineer

Stack

Responsibilities

• ▹Develop and maintain end-to-end data pipelines and backend ingestion workflows and take part in building Samsara's Data Platform
• ▹Work with data from ERP (Netsuite), CRM (Salesforce), product, order flow and support ticket sources
• ▹Manage critical data pipelines enabling growth initiatives and advanced analytics
• ▹Facilitate data integration and transformation between applications, data layers and the data lake
• ▹Improve data architecture, data quality, monitoring, observability and data availability
• ▹Write SQL/Python data transformations for data products used by Analytics, Marketing Operations and Sales Operations teams
• ▹Design, build and operate large-scale Spark and PySpark workflows for batch and streaming processing across Databricks and cloud environments
• ▹Optimize Spark job performance: partitioning, shuffle, caching and resource allocation
• ▹Define and enforce data engineering standards, patterns and best practices
• ▹Design systems for long-term maintainability: clear contracts, testable components, thoughtful failure modes
• ▹Build and maintain MCP (Model Context Protocol) servers exposing data assets and engineering workflows to AI models and internal tooling
• ▹Integrate agentic workflows into the data engineering lifecycle and evaluate emerging AI-native tooling
• ▹Mentor junior team members, share knowledge and lead projects together with internal stakeholders

Requirements

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

Nice to have

• ▹Designing and governing a centralized semantic layer for reliable AI and analytics
• ▹Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch or equivalent
• ▹AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, Secrets Manager

Soft skills

About the company

Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, using IoT data to help industries built on physical operations work more safely, efficiently and sustainably.