Senior AI Data Engineer

Навыки

Обязанности

• 01Design, build, and operate production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and the evaluation harnesses that keep them reliable and trustworthy
• 02Architect and maintain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation, and analytics
• 03Partner with the BI team to expand conversational analytics across the marketing organization
• 04Identify and automate manual workflows with AI, taking ideas from concept to prototype to a credible path to production, and delivering efficiency gains across marketing and go-to-market teams
• 05Stand up new data pipelines end to end, often for a tool that was onboarded yesterday: discovering the schema, working with partners inside Samsara and at the vendor, getting the data processed, and integrating it into our downstream systems
• 06Own the reliability and data quality of what you build
• 07Autonomously partner with technical and non-technical stakeholders (Marketing, Sales, R&D, and more) to translate ambiguous business questions into technical requirements and scalable solutions, without dedicated PM support
• 08Ship 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
• 09Mentor engineers, conduct code reviews, and help define best practices for the team

Требования

• 015+ years of working experience in a data engineering or AI engineering role, including meaningful hands-on data engineering experience
• 02Expert Python and SQL knowledge with strong hands-on data modeling experience
• 03You have built and shipped systems that use LLMs or agents in production as part of your job
• 04Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow
• 05You actively seek out new ways to use AI to accelerate your work, and you verify and take ownership of AI-generated output
• 06Deep experience with data warehouse architectures, ETL/ELT, and the modern data stack (e.g., Databricks, DBT, Snowflake, BigQuery, or similar)
• 07Demonstrated ability to lead requirements gathering independently, bridging the gap between business needs and technical implementation, and to spot opportunities for automation through exploratory conversations with stakeholders
• 08A self-starter who performs well independently and as a team member, with strong communication and project management skills across technical and non-technical audiences

Условия

• 01This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area