Staff Analytics Engineer

TL;DR

Staff Analytics Engineer (Analytics Engineering/dbt/Snowflake): Own the evolution of an analytics engineering platform that turns raw telemetry data into governed, business-ready models with an accent on scalable dimensional modeling, certified dbt metrics, and AI-ready semantic/metadata layers. Focus on establishing architecture, standards, and engineering practices that improve data quality, reliability, and self-service analytics across multiple business domains.

Company

hirify.global builds telemetry infrastructure for the AI era, enabling enterprises to manage and analyze telemetry for humans and agents.

What you will do

• Own long-term architecture and evolution of the analytics engineering platform, including foundational model stabilization and AI readiness.
• Design, build, and maintain certified dbt models as the authoritative source for business-critical metrics.
• Establish and enforce standards for modeling, testing, documentation, and code review, including review of high-impact dbt changes.
• Design and maintain semantic and metadata layers to enable reliable AI-powered analytics and self-service.
• Partner with analysts and Data Engineering to migrate business logic into governed warehouse models and improve source reliability, warehouse architecture, and Snowflake performance/cost efficiency.
• Mentor analysts and analytics engineers on dbt development, data modeling, and analytics engineering best practices.

Requirements

• Location: Remote in the United States
• 7+ years of experience in analytics engineering, data engineering, or a related technical field, including 3+ years running dbt in a production environment.
• Expert-level SQL and demonstrated ownership of scalable dimensional models.
• Deep expertise in analytics engineering practices: version control, testing, CI/CD, documentation, data contracts, lineage, and governance.
• Experience designing reusable semantic models, certified metrics, and warehouse architectures for self-service across business domains.
• Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture.

Culture & Benefits

• Remote-first work across many time zones; occasional duties outside standard working hours may be required.
• Health, dental, vision, short-term disability, and life insurance; paid holidays and paid time off.
• 401(k) and equity; fertility treatment benefit.
• Salary range: $145,000–$190,000 USD (geography-dependent).

Hiring process

• Application review followed by interviews to assess technical depth in analytics engineering and dbt/Snowflake practices.
• Discussion of architecture/standards ownership and collaboration with analysts and data engineering.