Senior AI Data, Analytics Engineer

🔥 15 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $137.4k - $231k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

🏗️ Construction

🏥 Healthcare

💰 Seed Round on 2014-08

Logistics • Construction • Healthcare

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

• Partner on defining the strategy and multi-quarter roadmap for MDA’s 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 clear requirements and scalable solutions • Lead complex, cross-team initiatives end to end, including new data pipelines and integrations • Manage risk across interdependent teams and own reliability and data quality • Serve as senior technical lead for complex problems, code reviews, engineering quality, and bottleneck removal • 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 GTM teams from concept through production • Ship high-quality Python and SQL, increasingly directing agentic coding tools • Review and verify AI-generated work before production • Champion Samsara’s cultural principles while scaling globally and across new offices

🎯 Requirements

• 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 • Ability to verify and take ownership 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 • Ideal: experience with Databricks and AI Agents within the ecosystem • Ideal: software engineering background beyond data or AI engineering • Ideal: expertise in data visualization and dashboards for sales and marketing KPIs • Ideal: familiarity with CRM such as Salesforce, marketing automation, web analytics, and MarTech tools • Ideal: experience with Streamlit, Claude workflows, or web frameworks • Ideal: data science, machine learning, or predictive analytics experience • Ideal: comfort working in an exploratory environment and iterating on new data sources and methodologies

🏖️ Benefits

• Initial RSU grant with no vesting cliff • Ongoing RSU 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 • Above-market total compensation opportunities • Remote work support where aligned with operational requirements • Offices available for employees who prefer to work in-person • Reasonable accommodations throughout the recruiting process