Skip to content
CriblCriblUnited States

Staff Analytics Engineer

Own the architecture and standards for Cribl's analytics engineering platform using dbt. Build certified models, semantic layers, and governance practices to power trusted analytics, reporting, and AI decision-making across the business.

145k – 190k/yr
Remote7+ YOEData Engineering

About the role

Responsibilities

  • 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.
  • Establish and enforce analytics engineering standards for modeling, testing, documentation, and code review, including review of high-impact dbt changes.
  • 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.
  • Mentor analysts and analytics engineers on dbt development, data modeling, and analytics engineering best practices.

Requirements

  • 7+ years of experience in analytics engineering, data engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in a production environment.
  • Expert-level SQL and demonstrated ownership of scalable dimensional models.
  • Deep expertise in modern analytics engineering practices, including version control, testing, CI/CD, documentation, data contracts, lineage, and governance.
  • Experience designing reusable semantic models, certified metrics, and warehouse architectures that enable self-service analytics across multiple business domains.
  • Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture.
  • Demonstrated ability to establish technical standards, influence engineering practices without formal authority, and improve platform reliability while reducing technical debt.
  • Proven ability to partner closely with analysts to translate business requirements into scalable, maintainable warehouse models.
  • Strong communication skills with the ability to explain complex technical concepts and tradeoffs to both technical and business audiences.

Nice-to-Haves

  • Experience with semantic layers, metadata management, or AI-enabled analytics platforms.

Skills

dbtSQLSnowflakedimensional modelingsemantic layersmetadata managementCI/CDData Governancedata lineageanalytics engineering

Similar roles

Data Engineering jobs
Forterra

Staff Data Engineer

ForterraArlington, VA

Build and maintain data pipelines, Snowflake data warehouse, and governance frameworks to support analytics, ML, and autonomy product development at Forterra. Requires 6+ years data engineering experience, expert SQL/Python, and modern data stack proficiency.

145k – 175k/yr
Hybrid7+ YOEData Engineering
Skillable

Manager, Data Engineering

SkillableUnited States

Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.

140k – 185k/yr
Remote10+ YOEData Engineering
Shield AI

Staff Engineer, Operations Analysis (R4757)

Shield AIDallas, TX +1

Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.

150k – 220k/yr
On-site7+ YOEData Engineering
Pinterest

Staff Data Engineer, tvScientific

PinterestSan Francisco, CA

Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.

156k – 320k/yr
Remote5+ YOEData Engineering
Nuro

Senior/Staff Software Engineer, ML Data Infrastructure

NuroMountain View, CA

Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.

160k – 241k/yr
On-siteData Engineering