S
Stellar Health
Senior Staff AI Data Engineer
Skills
SnowflakeData AnalysisMachine LearningAIdbt
2 months ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Salary:
$250,000 – $280,000 / year
Location:
United States
Work mode:
Remote
Published on:
22 September 2026
What they need
Who you are
- 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
- Architect-mentor, not solo IC. Your impact is measured in what the whole analytics org can do, not just what you ship
- Equally credible in a strategy conversation about where AI takes our analytics next and in developing a new data model the following day
- Decisions have direct, long-term consequences for Stellar's ability to operate on its data
What the job involves
- Stellar Health is hiring a Senior Staff AI Data Engineer to lead how AI transforms analytics and reporting, and to evolve the data architecture that makes it work
- You'll own, drive, and contribute to two key components of our analytics strategy
- The first is AI for analytics and reporting, end to end: strategy, tool selection, administration and architecture, semantic and context layers, and governance. The second is our data architecture
- You'll lead the thinking on how it and our models need to evolve to support these use cases, and contribute to the dbt + Snowflake work to get there alongside our analytics engineers
- Together they serve one goal: compress time-to-insight, and improve the quality of the insights themselves
- 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
Benefits
- Medical, dental, and vision benefits: With coverage starting on your first day of employment
- Collaborative and inclusive culture: Even though we are virtual right now, we are committed to having fun as a team on a regular basis. Virtual magicians, game nights, outdoor happy hours and team picnics
- Generous paid time off policy: We follow a "self managed" PTO philosophy. Take time when you need it
Other offers great for you!
These companies are also looking for great profiles
E
Espace Freelance
Expert(e) Analytics & GenAI
Freelance
Paris, France
Hybrid
Skills
SQL QueriesLLMs / Large language modelsReactPythondbtText-to-SQL
20 hours ago
Quick apply
E
EBM Consulting
Ingénieur IA
Freelance
Remote
Skills
LLMs / Large language modelsPythonAI
18 hours ago
Quick apply
5
5 Degrés
Chef de projet senior IA agentique (H/F)
Freelance
Paris, France
Hybrid
Skills
AI
11 hours ago
Quick apply
No company information available.