Senior AI Data & Analytics Engineer

Samsara

. Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $137,445 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong focus on Python, SQL, and data modeling. Capable of leading cross-team initiatives and building AI-enabled data products while ensuring data quality and reliability.

Highest-signal resume keywords

Expert-Level PythonExpert-Level SQLData Modeling and dbt ExperienceDatabricks or Similar TechnologiesBuilding AI Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringETL/ELT PipelinesData Warehouse ArchitectureData Lakehouse ArchitectureData VisualizationMachine LearningPredictive AnalyticsInteractive ApplicationsAgentic Coding Tools

Soft Skills

Cross-Team CollaborationMentoringIndependent Requirements GatheringProblem SolvingCommunication

Tools & Technologies

DatabricksSnowflakeBigQueryStreamlitCRM ToolsMarketing Automation ToolsWeb Analytics ToolsMarTech Tools

Industry Keywords

Data InfrastructureSelf-Serve BIConversational AnalyticsSales and Marketing KPIsAI-Enabled Data Products

Tech Stack

Tools & technologies

BigQueryETLPythonSQL

About the role

Key responsibilities & impact

Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation
Architect and own Samsara's 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, raising engineering quality and code review standards
Remove bottlenecks across teams 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 GTM teams from concept through production
Ship high-quality Python and SQL, increasingly by directing agentic coding tools
Review and verify AI-generated work before production
Champion Samsara’s cultural principles

Requirements

What you’ll need

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 technologies 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
Experience with Databricks and building AI Agents within the ecosystem
Software engineering background beyond data or AI engineering
Expertise in data visualization and dashboards for sales and marketing KPIs
Familiarity with CRM, marketing automation, web analytics, and MarTech tools
Experience building interactive applications with Streamlit, Claude workflows, or web frameworks
Data science, machine learning, or predictive analytics experience
Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies

Benefits

Comp & perks

Initial RSU grant with no vesting cliff
Ongoing 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
Remote work support
In-person office option
Equal opportunity employment
Reasonable accommodations throughout the recruiting process