About Amigo

Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed.

Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.

We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement.

Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.

About this role

As a Staff Software Engineer (Data) at Amigo, you'll own the technical direction of our data platform—a strategic differentiator that powers agent improvement, clinical analytics, and research collaboration. You'll architect streaming and batch infrastructure on Databricks that processes agent conversations, clinical events, and patient outcomes at scale.

We own the entire data foundation: raw interaction data, agent reasoning traces, clinical outcomes, and high-fidelity synthetic data. You'll drive architecture decisions for population analysis, data mining pipelines, the Research Platform backend, and secure data sharing with academic partners.

What you'll do

• Own technical architecture for the data platform across Databricks, Delta Lake, and supporting infrastructure

• Drive engineering standards for pipeline reliability, data quality, and observability

• Architect streaming and CDC pipelines that power real-time analytics and agent feedback loops

• Design the data backend architecture for Research Platform, including natural language query capabilities

• Architect data mining systems for persona discovery, scenario extraction, and edge case detection

• Design anonymization and data sharing infrastructure for research partnerships with academic medical institutions

• Own multi-region data architecture and compliance requirements

• Make build vs. buy decisions for data tooling and evaluate technical tradeoffs

• Mentor engineers and establish patterns that raise the bar for the data team

• Collaborate with data scientists, agent engineers, and clinical operations to align data capabilities with business needs

What we're looking for

• 7+ years of production data engineering experience, with significant time at high-caliber engineering organizations

• Expert-level experience with Databricks, Spark, and Delta Lake at scale

• Strong Python and SQL skills with deep understanding of distributed data systems

• Proven track record designing data architectures that scale

• Deep experience with streaming systems, CDC patterns, and real-time data processing

• Strong understanding of data modeling, medallion architecture, and query optimization

• History of establishing engineering standards and mentoring engineers

• Extremely high standards for data quality, reliability, and operational excellence

• Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes

• Excellent communication across engineering, data science, and executive stakeholders

Nice to have

• Experience with healthcare data platforms or HIPAA compliance at scale

• Background architecting multi-tenant data systems with strict isolation requirements

• Experience building natural language query interfaces or LLM-powered data tools

• Track record with ML infrastructure (feature stores, training pipelines, model serving)

• Experience with Delta Sharing or cross-organization data collaboration

• Knowledge of vector search systems and embedding infrastructure at scale

Benefits

Health & Wellness

• Comprehensive health, dental, and vision insurance

• Mental health support and wellness coaching

• Flexible wellness stipend for fitness, therapy, or personal growth

• Daily catered lunch and dinner

Growth & Development

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Development setup of your choice

• Academic collaboration opportunities