Staff Software Engineer (Data)

Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action.

We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.

We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year.

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.

• 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

• 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

• 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

• 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

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Development setup of your choice

• Academic collaboration opportunities