Data Engineer II

🕒 April 28

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Logo of Samsara

Samsara

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

Enterprise • Transport • Security

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

• Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases. • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation). • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery. • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale. • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows. • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale. • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments. • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems. • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.

🎯 Requirements

• 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms • Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions. • Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines. • Experience orchestrating data workflows at scale and enabling machine learning or AI use cases. • Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design. • Located in and authorized to work in the United States (this is a fully remote role).

🏖️ Benefits

• flexible, employee-led remote model • professional development stipend • comprehensive health and parental leave plans • above-market total compensation through base salary, performance-based bonus/variable pay, and equity

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