Senior AI Data Engineer – Analytics & Data Architecture

Stellar Health; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental and Vision Benefits

Flexible PTO

Universal Paid Family and Caregiver Le

Stock Options & 401k matching

Company sponsored One Medical and Citi

Wellhub+ Gym Memberships

Pre-tax commuter benefits

Job summary

Stellar Health seeks a Senior Staff AI Data Engineer to lead AI-driven analytics and reporting, and evolve our data architecture to support predictive insights. You’ll own end‑to‑end AI analytics, governance, and tool selection while guiding the dbt + Snowflake stack and related model governance for high‑stakes reporting.

You will mentor analytics engineers and collaborate with engineers to scale semantic layers and metadata, enabling faster, reliable insights across the organization.

Qualifications

• 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.

Responsibilities

• Own AI for analytics and reporting strategy, tool selection, and governance across Stellar’s data stack.
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Skills

Data platforms

ML platform

LLM systems

dbt

Snowflake

Semantic layers

Mentoring

Tools

Claude

Agent SDK

Snowflake

dbt

MCP servers

Job description

Stellar Health seeks a Senior Staff AI Data Engineer to lead AI-driven analytics and reporting, and evolve our data architecture to support predictive insights. You’ll own end‑to‑end AI analytics, governance, and tool selection while guiding the dbt + Snowflake stack and related model governance for high‑stakes reporting.

You will mentor analytics engineers and collaborate with engineers to scale semantic layers and metadata, enabling faster, reliable insights across the organization.