Principal Analytics Engineer

🔥 5 minutes ago

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Angi

1001 - 5000 employees

Founded 1995

🏪 Marketplace

👥 B2C

💰 $30M Debt Financing - Angi on 2011-10

Marketplace • B2C

Angi is a consumer-facing online marketplace that helps homeowners find, compare, and hire local professionals for home improvement, maintenance, and repair projects. The platform lists many trades and services — including plumbing, electrical, roofing, landscaping, cleaning, remodeling, and more — provides ratings and pricing guides, offers an app, and allows service professionals to register and manage their businesses. It also publishes cost guides and project research to help homeowners plan jobs.

📋 Description

• Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership. • Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance. • Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI. • Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces. • Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle. • Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer. • Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices. • Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers.

🎯 Requirements

• 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role. • Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI). • Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns. • Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority. • Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying.

🏖️ Benefits

• Full medical, dental, vision package to fit your needs • Flexible vacation policy; work hard and take time when you need it • Pet discount plans & retirement plan with company match (401K) • This position will be eligible for a competitive year end performance bonus & equity package

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