Data Engineer II
Samsara
midpermanentbackenddata United States Today via LinkedIn
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Data EngineeringDatabricksApache SparkETL/ELTData ModelingData QualityOrchestrationdbtRAGVector Embeddings
About the role
Role Overview
Data Engineer II on Samsara’s Revenue Operations AI & Data Team. You will own the data platforms that power Samsara’s GTM AI engine, enabling grounded, reliable data for AI applications and copilots.
Responsibilities
- Build and maintain ETL/ELT data pipelines using Databricks and Spark 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 data quality controls including monitoring, alerts, and testing for timeliness and data lineage.
- Support workflow orchestration using Databricks Jobs, dbt, or equivalent scheduling tools.
- Contribute to pipelines and tooling for retrieval-augmented generation (RAG), vector integrations, and embedding workflows.
- Design and optimize bulk GenAI data pipelines in Databricks.
Requirements
- Experience building and operating large-scale data pipelines in Databricks and Spark (ETL/ELT).
- Ability to design data models for analytics, experimentation, and AI/ML-adjacent workflows.
- Strong focus on data reliability via monitoring, alerting, testing, and lineage.
- Experience orchestrating data workflows using Databricks Jobs and/or dbt-style tooling.
- Familiarity with AI data workflows such as RAG, vector/embedding pipelines.
Nice-to-Haves
- Experience supporting generative AI job workflows in Databricks.
- Background partnering with data scientists, AI engineers, and business stakeholders to deliver production-ready infrastructure.
Location / Eligibility
- United States candidates residing in the US, except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
About Samsara
Samsara is a connected operations cloud company that helps organizations using physical operations harness IoT data to generate actionable insights and improve safety, efficiency, and sustainability. Its platform serves industries such as agriculture, construction, field services, transportation, and manufacturing, enabling teams to digitize and optimize operations at scale.
Scraped 4/2/2026