JobsBackendSenior AI Data Engineer
Samsara

Samsara

·

Backend

Senior AI Data Engineer

RemoteSeniorPosted Aug 17, 2026
PythonSQLDatabricksLLMsSnowflakeAI+9 more

About this role

Build production AI systems, data pipelines, and marketing infrastructure at Samsara's Marketing Data & Analytics team. Architect LLM-powered agents, CDP systems, and conversational analytics while mentoring engineers and owning end-to-end solutions.

Must have

5+ years of data engineering or AI engineering experience with hands-on data work

Expert Python and SQL knowledge with strong data modeling skills

Built and shipped production LLM or agent systems as part of your job

Regularly use agentic coding tools like Claude Code or Cursor in your workflow

Deep experience with data warehouse architectures and ETL/ELT pipelines

Proven ability to independently gather requirements and bridge business and technical needs

Strong communication and project management skills across technical and non-technical audiences

Technologies

PythonSQLGitRESTMachine learningETLData engineeringSalesforceSnowflakeAIBigQueryDatabricksCI/CDLLMsdbt

Responsibilities

Design, build, and operate production AI systems including agent orchestration and retrieval pipelines

Architect and maintain marketing databases, datasets, pipelines, and the Customer Data Platform

Partner with BI team to expand conversational analytics across marketing

Identify and automate manual workflows with AI from concept to production path

Stand up new data pipelines end to end for newly onboarded tools

Own reliability and data quality of everything you build

Autonomously partner with stakeholders to translate ambiguous questions into scalable solutions

Ship high-quality Python and SQL while directing agentic coding tools and reviewing AI-generated work

Mentor engineers, conduct code reviews, and define team best practices

Benefits

Health insuranceCompetitive salary and stock option planPaid vacationParental leaveFlexible hoursRemote workProfessional development

Amenities

Flexible, employee-led remote modelOffices open for those who prefer in-person work

Recruitment process

1

Role sits on Marketing Data and Analytics Engineering team alongside BI and Data Science

2

Team takes ambiguous business problems and turns them into data products, AI agents, and automation

3

Eligible for initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance

4

Performance-based bonus and variable pay available in addition to base salary

5

High-growth public company with above-market total compensation for top performers

6

Professional development stipend provided

7

Comprehensive health and parental leave plans offered