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SamsaraSenior AI Data & Analytics Engineer II
Samsara is a publicly traded technology enterprise that develops a Connected Operations Cloud platform. This system utilizes Internet of Things data to enhance safety, efficiency, and…
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About This Role
Samsara is a publicly traded technology enterprise that develops a Connected Operations Cloud platform. This system utilizes Internet of Things data to enhance safety, efficiency, and sustainability across industries such as agriculture, construction, transportation, and manufacturing. The organization is currently seeking a Senior AI Data & Analytics Engineer II to join the Marketing Data and Analytics Engineering team. In this position, the professional will construct the data architecture supporting artificial…
Job Description
Samsara is a publicly traded technology enterprise that develops a Connected Operations Cloud platform. This system utilizes Internet of Things data to enhance safety, efficiency, and sustainability across industries such as agriculture, construction, transportation, and manufacturing.
The organization is currently seeking a Senior AI Data & Analytics Engineer II to join the Marketing Data and Analytics Engineering team. In this position, the professional will construct the data architecture supporting artificial intelligence and self-serve analytics at scale. Responsibilities include building Databricks pipelines, Gold Layer tables, and semantic models while transforming complex business objectives into high-value data assets and autonomous systems. Candidates must reside within the United States.
This role suits professionals with extensive data engineering expertise who are energized by building scalable analytics infrastructure, implementing artificial intelligence solutions in production, and collaborating across departments. The position operates on a full-time schedule with an annual base compensation range between $137,445 and $231,000, alongside eligibility for an initial restricted stock unit grant and total rewards offerings.
Responsibilities
- Collaborate on shaping the multi-quarter strategy and technical roadmap for data and artificial intelligence foundations.
- Build and maintain marketing data infrastructure, including data pipelines, Databricks Gold Layer tables, and core data models.
- Create semantic layers, data dictionaries, and documentation to support self-serve business intelligence and conversational analytics.
- Translate complex business inquiries from marketing, sales, and research and development departments into scalable technical solutions.
- Manage large cross-team initiatives independently from inception to production while ensuring high reliability and data quality.
- Act as senior technical lead to perform code reviews, eliminate technical bottlenecks, and mentor team members.
- Design and deploy production-ready artificial intelligence agents and data products integrated with retrieval pipelines.
- Automate manual workflows for Go-To-Market and marketing teams using artificial intelligence prototypes.
- Write Python and SQL code while verifying and reviewing outputs generated by agentic coding tools.
Requirements
- Minimum of 8 years of professional experience in data engineering, analytics engineering, or artificial intelligence engineering.
- Expert-level command of Python and SQL with hands-on data modeling and dbt experience.
- Extensive background in data warehouse and lakehouse architectures, ETL/ELT processes, and the modern data stack including Databricks, Snowflake, or BigQuery.
- Demonstrated experience designing semantic layers and structured documentation optimized for artificial intelligence ingestion.
- Active use of agentic coding tools like Claude Code or Cursor in regular workflows with verified output ownership.
- Track record of building, shipping, evaluating, and monitoring large language model or agent systems in production environments.
- Experience leading cross-team data initiatives and gathering requirements from technical and non-technical stakeholders.
- Prior experience supporting sales, product, or marketing teams.
Qualifications
- Practical experience using Databricks to build artificial intelligence agents within its ecosystem.
- Background in software engineering outside of specialized data or artificial intelligence tracks.
- Expertise in data visualization and dashboard creation focused on sales and marketing metrics.
- Familiarity with Go-To-Market data tools, customer relationship management systems like Salesforce, marketing automation, and web analytics.
- Experience building interactive applications using Streamlit, Claude workflows, or web frameworks.
- Background in data science, predictive analytics, or machine learning.
Core Skills
Benefits
- Annual base salary ranging from USD 137,445 to 231,000 depending on location and experience
- Initial restricted stock unit grant with no vesting cliff
- Ongoing performance-tied equity refresh opportunities
- Comprehensive health plans
- Parental leave plans
- Professional development stipend
- Flexible, employee-led remote working model
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location or remote work policy for this role?
The posting specifies that the role is open to candidates residing in the United States and utilizes a flexible, employee-led remote model.
What is the salary range for the Senior AI Data & Analytics Engineer II position?
The annual base salary ranges from USD 137,445 to 231,000, with exact placement depending on factors like the candidate's city of residence, skills, and experience.
What employment type is this position?
This position is a full-time employment opportunity.
Are there additional financial incentives besides base pay?
Yes, the position is eligible for an initial restricted stock unit grant with no vesting cliff, performance-based equity refresh opportunities, and a professional development stipend.
Sample Interview Questions
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