Data Engineer II

🕒 Abril 28

🏄 California, New York, +1 estados a mais – Remoto

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💵 $101.745 - $153.900 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Samsara

1001 - 5000 funcionários

Fundada em 2015

🏢 Corporativo

🚗 Transporte

🔐 Segurança

💰 Seed Round em 2014-08

Enterprise • Transport • Security

Samsara é uma empresa de tecnologia que oferece uma plataforma completa de operações voltada a aprimorar a eficiência, a segurança e a sustentabilidade das organizações. Suas soluções incluem segurança baseada em vídeo, telemetria veicular, monitoramento de equipamentos, aplicativos para a força de trabalho e visibilidade de instalações. A Samsara atende a diversos setores, como transporte, logística, construção e governo. A plataforma conecta pessoas, sistemas e dados, permitindo que as organizações tomem decisões mais rápidas e orientadas por dados. A tecnologia de Connected Operations da Samsara ajuda organizações complexas a operar com mais eficácia, oferecendo GPS em tempo real, alertas proativos, treinamentos de compliance e rastreamento de ativos.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

• 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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