Note: The job is a remote job and is open to candidates in USA. Stellar Health is a healthcare technology company that helps primary care providers improve patient health through technology, analytics, and incentives. The Senior Staff AI Data Engineer will lead AI strategy for analytics and reporting while evolving data architecture, semantic layers, and dbt and Snowflake models to accelerate reliable insights.
Responsibilities
- Set the strategy for how AI reshapes analytics, reporting, and self-serve data access at Stellar: where it goes first, what it replaces, what it unlocks, and how we sequence it
- Own tool selection, administration, and architecture, including Claude on Snowflake, MCP servers, skills, agent workflows, and IDE integrations, along with the reliability and scaling limits as usage grows
- Design the 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 our data is both impactful and controlled
- Debug the hairiest failures, including the agent problems that look like LLM problems but are actually data modeling, metadata, or system-design problems
- Build for futures we can't fully predict: 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's 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 that serve reporting, analytics, and AI consumption, bringing particular attention to the structure, grain, and documentation agents require for accuracy, not only what a human analyst can navigate
- 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 the metadata that makes both dashboards and agents trustworthy, developed with the analysts and engineers who rely on them
Skills
- 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 + cloud warehouse (Snowflake preferred) chops; opinionated about semantic layers and metadata
- Track record of driving wide-team consensus on technical direction - not just shipping, but getting other teams to adopt the pattern
- Comfortable communicating externally: blog posts, talks, OSS contributions, customer-facing thought leadership
- Bonus: Claude Code / Agent SDK, healthcare/claims data, prior 0→1 platform builds
Benefits
- Medical, Dental and Vision Benefits
- Flexible PTO
- Universal Paid Family and Caregiver Leave
- Wellhub+ Gym Memberships
- Pre-tax commuter benefits, HA, FSA plans
- Company sponsored One Medical memberships and Citibike memberships
- Medical Travel Benefits
- JOON, a flexible lifestyle spending account that gives our team a monthly stipend to spend on what matters most to them
- Stock Options & a 401k matching program
- A broad calendar of company sponsored social events that for our in-office and remote employees
- Company sponsored lunch for all NY HQ employees
Company Overview
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