Samsara
Senior AI Data & Analytics Engineer II
$137K–$231K
Remote - Seattle +1 · Remote · Senior · Full-time · Posted Oct 19, 2026
- Location
- Remote - Seattle
Remote - SF Bay Area - Experience
- 8+ years in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
About the job
Build and lead the marketing data and AI foundation, including data pipelines, models, semantic layers, AI-enabled products, and workflow automation.
What you'll do
- Architect and own ETL/ELT pipelines, Databricks Gold Layer tables, and marketing data models.
- Lead cross-functional data initiatives and develop semantic layers and documentation for self-serve BI and conversational analytics.
- Build, evaluate, and monitor AI-enabled data products and agents; automate workflows and mentor teammates.
What they ask for
- Expert-level Python and SQL, with strong hands-on data modeling and DBT experience.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks or similar.
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
Nice to have
- Experience working with Databricks and building AI Agents within the ecosystem.
- Software engineering background beyond data or AI engineering.
Pay
$137,445 — $231,000 USD (annual base salary)
Tools
Python, SQL, DBT, Databricks, Snowflake, BigQuery, Claude Code, Cursor
AI focus
Build AI-enabled data products and agents, with integrations, retrieval pipelines, evaluation, and monitoring; automate Marketing and GTM workflows with AI; use and verify agentic coding tools.
Model-written summary · the original posting is authoritative