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Senior AI Data & Analytics Engineer

🕒 Junho 11

🏄 California – Remoto

infoinfo

💵 $137.445 - $231.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Samsara, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Junho 11

Ainda aberta no site da Samsara. Verificada 7 horas atrás.

Logo of Samsara

Samsara

1001 - 5000 funcionários

Fundada em 2015

📦 Logística

🏗️ Construção

🏥 Saúde

💰 Seed Round em 2014-08

Logistics • Construction • Healthcare

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

• Partner on defining the strategy and multi-quarter roadmap for the Marketing Data and Analytics data and AI foundation • Architect and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core data models • Design semantic layers, data dictionaries, and structured documentation for self-serve BI and conversational analytics • Ensure sales and marketing KPIs are built on trusted, well-modeled data with the BI team • Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions • Lead complex, cross-team initiatives from end to end, including pipelines and integrations • Manage risk across interdependent teams and own reliability and data quality • Serve as senior technical lead, raise engineering and code-review quality, remove bottlenecks, and mentor engineers and analysts • Build AI-enabled data products and agents with integrations, retrieval pipelines, and evaluation practices • Automate manual workflows with AI across Marketing and go-to-market teams from concept through production • Ship Python and SQL, increasingly directing agentic coding tools, and review AI-generated work before production • Champion Samsara’s cultural principles

🎯 Requisitos

• 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience • Expert-level Python and SQL • Strong hands-on data modeling and dbt experience • Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack • Hands-on Databricks or similar platforms such as Snowflake or BigQuery • Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows • Regular use of agentic coding tools such as Claude Code or Cursor, with ownership and verification of AI-generated output • Experience building, shipping, evaluating, and monitoring LLM or agent systems in production • Track record of leading complex, cross-team data initiatives • Independent requirements gathering with technical and non-technical stakeholders • Experience supporting Marketing, Sales, or Product teams • Legal right to work at Samsara and in the specified work location • Ideal qualifications include Databricks AI Agents, software engineering beyond data or AI engineering, sales and marketing KPI dashboards, CRM such as Salesforce, marketing automation, web analytics, MarTech tools, Streamlit, Claude workflows or web frameworks, data science, machine learning, predictive analytics, and exploratory data methodologies

🏖️ Benefícios

• Initial RSU grant with no vesting cliff • Ongoing equity refresh opportunities tied to performance • Performance-based bonus/variable pay • Equity for eligible roles • Flexible, employee-led remote model • Professional development stipend • Comprehensive health plans • Parental leave plans • In-person office access for employees who prefer it • Equal opportunity and reasonable accommodations

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