Cribl

Staff Analytics Engineer

Remote - United States · Staff+

Sponsorship not specified$145k-$190kDetected 20 hours ago

Code ReviewSQLSnowflakeCI/CDdbtData EngineeringCommunication

About the role

We're one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market.
With a global workforce, we're remote‑first and grounded in a simple idea: software is a people business.
Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better.
We're building a culture where differences are valued and welcomed, and we work together to bring out the best in each other.
Own the long-term architecture and evolution of Cribl's 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.
Design and maintain semantic and metadata layers that enable reliable AI-powered analytics and self-service.
Partner with analysts to migrate high-value business logic from Omni into governed warehouse models.
Partner with Data Engineering to improve source reliability, warehouse architecture, and Snowflake performance and cost efficiency.
Proven ability to partner closely with analysts to translate business requirements into scalable, maintainable warehouse models.

Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture.
Experience with semantic layers, metadata management, or AI-enabled analytics platforms.

We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours.

This listing is sourced directly from Cribl's careers page and normalized into a canonical job model.