Find a jobRecruiters

Senior Staff AI Data Engineer

Exclusive opportunity

Remote

Senior Staff AI Data Engineer

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

Espace Freelance

Expert(e) Analytics & GenAI

Freelance

Paris, France

Hybrid

Skills

SQL QueriesLLMs / Large language modelsReactPythondbtText-to-SQL

20 hours ago

Quick apply

EBM Consulting

Ingénieur IA

Freelance

Remote

Skills

LLMs / Large language modelsPythonAI

18 hours ago

Quick apply

5 Degrés

Chef de projet senior IA agentique (H/F)

Freelance

Paris, France

Hybrid

Skills

AI

11 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools