Senior Data Engineer

🕒 June 24

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Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

🏗️ Construction

🏥 Healthcare

💰 Seed Round on 2014-08

Logistics • Construction • Healthcare

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• 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. • 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.

🎯 Requirements

• Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program. • 8+ years of work experience as a Software Engineer with data focus or as 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. • 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. • Cloud: AWS, Azure, and/or GCP.

🏖️ Benefits

• Flexible working model • Professional development stipend • Comprehensive health and parental leave plans • Eligibility for RSU grant and ongoing refresh opportunities tied to performance • Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity