Analytics Engineer

Preferred

• Experience in insurance, financial services, or another domain where definitions, historical state, and data quality have material business consequences.
• Familiarity with semantic layers, data catalogs, metric definitions, or AI-assisted analytics.
• Experience establishing analytics-engineering practices in a growing or relatively early-stage data organization.
• Familiarity with Python, Dagster, data ingestion pipelines, and modern software-engineering and CI/CD practices.
• Shepherd runs on four values. Here's what each one means in this seat.
• Think big, build big. We exist to protect progress and the industries that rely on it. The work here is aimed at a system that runs on its own, and the roadmap gets sequenced backward from that rather than forward from what's easy.
• Win together. We rise as one. We support each other, raise the bar, and celebrate collective success. Come set a standard the rest of the team inherits.
• Cross the aisle. Collaboration wins. We listen deeply, work across boundaries, and prioritize shared success over individual lanes. The best product calls here come from engineers who've sat with underwriters and underwriters who understand where the model breaks, and much of this job is listening closely enough on both sides to make that happen.