Senior AI Data, Analytics Engineer

Samsara

. Partner on defining the strategy and multi-quarter roadmap for the Marketing Data and Analytics data and AI foundation .

Posted 10/13/2026full-timeRemote • Texas • United StatesSenior💰 $137,445 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ModelingETL/ELT ExperienceDatabricks Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringAnalytics EngineeringAI EngineeringData Warehouse ArchitectureLakehouse ArchitectureSemantic Layer DesignDBT ExperienceData VisualizationMachine LearningPredictive Analytics

Soft Skills

MentoringCross-Team CollaborationIndependent Requirements Gathering

Tools & Technologies

DatabricksSnowflakeBigQueryClaude CodeCursorStreamlitSalesforce

Industry Keywords

Marketing DataAnalyticsAI ProductsKPI ManagementMarTech Tools

Tech Stack

Tools & technologies

BigQueryETLPythonSQL

About the role

Key responsibilities & impact

Partner on defining 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 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 review, 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 go-to-market 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 and embed Samsara’s cultural principles as the company scales globally and across new offices

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 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
Experience 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 testing and iterating on new data sources and methodologies preferred
Ability to secure and maintain the legal right to work in the company and specified work location

Benefits

Comp & perks

Initial RSU grant with no vesting cliff
Ongoing equity refresh opportunities tied to performance
Performance-based bonus/variable pay
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