Senior AI Data & Analytics Engineer

🕒 Outubro 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $137.445 - $231.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

🦅 Patrocina Visto H1B

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Samsara

SiteLinkedInTodas as Vagas

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 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 • Partner with the BI team to ensure sales and marketing KPIs use trusted, well-modeled data • Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions • Lead complex, cross-team initiatives end to end, including new pipelines and integrations • Manage risk across interdependent teams and own reliability and data quality • Serve as senior technical lead for complex problems, raise engineering quality, conduct code reviews, 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 high-quality Python and SQL, increasingly directing agentic coding tools and reviewing AI-generated work • Champion Samsara’s cultural principles as the company scales globally and across new offices

🎯 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 • Ability to secure and maintain the legal right to work at Samsara and in the specified work location • Preferred: Experience working with Databricks and building AI Agents within the ecosystem • Preferred: Software engineering background beyond data or AI engineering • Preferred: Expertise in data visualization and dashboards for sales and marketing KPIs • Preferred: Familiarity with CRM systems such as Salesforce, marketing automation, web analytics, and MarTech tools • Preferred: Experience with Streamlit, Claude workflows, or web frameworks • Preferred: Data science, machine learning, or predictive analytics experience • Preferred: Comfort working in an exploratory environment and iterating on new data sources and methodologies

🏖️ Benefícios

• Initial RSU grant with no vesting cliff • Ongoing refresh equity 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 • Above-market total compensation opportunities • Offices available for employees who prefer to work in-person • Reasonable accommodations throughout the recruiting process

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