Senior Staff, AI Data Engineer

🕒 September 9

🇺🇸 United States – Remote

💵 $250k - $280k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Stellar Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Stellar Health is a healthcare technology company that focuses on enabling providers and care teams to succeed in value-based care. They partner with payors, health systems, provider networks, and practicing physicians to develop tailored incentive programs that reward the completion of specific value-based care actions. Their platform includes the Stellar Application, a web-based tool that aids in managing patient care through real-time notifications and a checklist of recommended actions. Stellar Health supports providers in transitioning to risk-based contracts by offering technology, business intelligence, analytic insights, and on-the-ground implementation support. They work to improve quality and cost of care metrics and reward practices for value-based activities, ultimately advancing performance in healthcare delivery.

📋 Description

• Set the strategy for AI in analytics, reporting, and self-serve data access • Own AI tool selection, administration, and architecture, including Claude on Snowflake, MCP servers, skills, agent workflows, and IDE integrations • Design evaluation and guardrail systems for agent output and high-stakes reporting • Define governance and delivery processes for analytics use cases • Debug failures involving LLMs, data modeling, metadata, and system design • Plan for evolving agent patterns, tools, business questions, and regulatory constraints • Mentor analytics engineers, analysts, and other engineers on AI-assisted analytics • Lead external content and communication about AI-assisted analytics • Extend and refine dbt and Snowflake models for reporting, analytics, and AI consumption • Inform standards for models, metrics, tests, documentation, and lineage • Lead semantic and context layers, metric definitions, business context, and metadata • Build consensus for team-wide adoption of technical standards

🎯 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 their failure modes • Strong dbt and cloud warehouse skills; Snowflake preferred • Expertise in semantic layers and metadata • Track record of driving wide-team consensus on technical direction and adoption • Comfortable communicating externally through blog posts, talks, OSS contributions, and customer-facing thought leadership • Architect-mentor profile rather than solo IC • Bonus: Claude Code / Agent SDK, healthcare/claims data, or prior 0→1 platform builds • Authorization to work in the United States

🏖️ 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 • 401k matching program • Company sponsored social events for in-office and remote employees • Company sponsored lunch for all NY HQ employees • Bonus • Equity

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