Senior Staff AI Data Engineer

Stack

Responsibilities

• ▹Set the strategy for how AI reshapes analytics, reporting and self-serve data access: where it goes first, what it replaces, what it unlocks and how it is sequenced
• ▹Own tool selection, administration and architecture, including Claude on Snowflake, MCP servers, skills, agent workflows and IDE integrations, along with reliability and scaling limits as usage grows
• ▹Design eval and guardrail systems that catch regressions before they ship and give the team confidence in agent output for high-stakes reporting
• ▹Define how analytics use cases get proposed, governed and shipped, so AI access to data is both impactful and controlled
• ▹Debug the hairiest failures, including agent problems that look like LLM problems but are actually data modeling, metadata or system-design problems
• ▹Build for futures that cannot be fully predicted: new agent patterns, new tools, new business questions, new regulatory constraints
• ▹Be the role model and mentor for AI-assisted analytics across analytics engineers, analysts and other engineers
• ▹Identify what is worth sharing externally and lead the content and communication around it
• ▹Work alongside the analytics engineering team to extend and refine the dbt + Snowflake models serving reporting, analytics and AI consumption, with attention to the structure, grain and documentation agents need for accuracy
• ▹Inform standards for how models, metrics, tests, documentation and lineage are structured, and build the consensus that gets them adopted team-wide
• ▹Lead the semantic and context layers: metric definitions, business context and metadata that make dashboards and agents trustworthy

Requirements

• ▹8+ years across data platform, ML platform or developer tooling, including time as the senior technical voice for a major data/ML/AI surface
• ▹Production experience architecting LLM systems: agents, evals, RAG, MCP, tool use, multi-step workflows and the failure modes of each
• ▹Strong dbt and cloud warehouse skills (Snowflake preferred); opinionated about semantic layers and metadata
• ▹Track record of driving wide-team consensus on technical direction, getting other teams to adopt the pattern rather than just shipping
• ▹Comfortable communicating externally: blog posts, talks, OSS contributions, customer-facing thought leadership
• ▹Architect-mentor, not solo IC: your impact is measured in what the whole analytics org can do
• ▹Equally credible in a strategy conversation about where AI takes analytics next and in developing a new data model the following day

Nice to have

• ▹Claude Code / Agent SDK
• ▹Healthcare / claims data
• ▹Prior 0-to-1 platform builds

Soft skills

What we offer

• ▹Medical, dental and vision benefits
• ▹Flexible PTO
• ▹Universal paid family and caregiver leave
• ▹Wellhub+ gym memberships
• ▹Pre-tax commuter benefits, HSA and FSA plans
• ▹Company-sponsored One Medical and Citibike memberships
• ▹Medical travel benefits
• ▹JOON, a flexible lifestyle spending account with a monthly stipend
• ▹Stock options and 401(k) matching
• ▹Broad calendar of company-sponsored social events for in-office and remote employees
• ▹Company-sponsored lunch for all NY HQ employees

About the company

Stellar Health is a US health-tech company that helps primary care providers put patient health first, using real-time patient information, point-of-care checklists in the Stellar App and incentives for completed care actions.