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Senior AI Data & Analytics Engineer II

Samsara· Marketing Systems & Intelligence
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Hybrid (Remote - Chicago)$137.4k - $231kfull-timePosted 1w ago

About the role

Senior-level data engineering/AI role focused on building and scaling Samsara's marketing data infrastructure, AI-enabled data products, and self-serve analytics. Owns Databricks pipelines, semantic models, and AI integration to support Marketing, Sales, and R&D data needs.

Responsibilities

  • Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.
  • Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics.
  • Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data.
  • Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning.
  • Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships.
  • Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.
  • Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy.
  • Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps.
  • Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production.
  • Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.

Qualifications

  • 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
  • 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, such as Snowflake or BigQuery).
  • Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
  • Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you 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, including independent requirements gathering with technical and non-technical stakeholders.
  • Experience supporting Marketing, Sales, or Product teams.

Skills

Required:PythonSQLDatabricks

Benefits

  • Total Rewards with base salary and equity (as applicable)
  • Remote-friendly with flexible working
  • Professional development stipend
  • Comprehensive health and parental leave plans
  • Opportunities for growth and internal mobility
Last updated Oct 17, 2026. Interested? Apply on the company site.

About Samsara

Samsara | The Connected Operations Platform

Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.

Fleet TelematicsCameras and VideoDriver ExperienceSafety Reporting & InsightsEquipment ManagementIntegrated platformAI-powered analyticsFleet Intelligence
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