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Principal Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $143.6k - $229.4k / year

⏰ Full Time

đź”´ Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Logo of Zillow

Zillow

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

đź’° $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

đź“‹ Description

• Shape the analytics engineering practice and define how BI and analytics engineering scale across Zillow Group • Identify opportunities to simplify processes, improve alignment, and strengthen the metrics platform • Design semantic layer architecture for consistent, trusted data across BI, data science, and AI tools • Dive into internal and third-party data to model customer journeys and business processes • Build a reusable, modular semantic layer for BI tools, data science workflows, and AI systems • Lead cross-organizational data initiatives aligned with company strategy and roadmap planning • Drive alignment on metric definitions and data governance standards across business lines • Influence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systems • Mentor senior analytics engineers and shape strategic direction and technical standards • Partner with executive stakeholders on data infrastructure evolution • Operate high-availability data and reporting within SLA through quality alerting, issue detection, and urgent resolution

🎯 Requirements

• 8+ years of professional experience in analytics engineering, data engineering, visualization, or a related technical data role • Experience shipping customer-facing, production-grade reporting accurately and on time every day • Expert-level SQL and data modeling skills • Experience designing data architectures spanning multiple business domains • Excellent communication and partner management skills • Ability to gain alignment and influence across product development, engineering, analytics, finance, sales, and operations • Deep experience with semantic layer design, metrics-as-code patterns, and organizational-scale data governance • Strong understanding of how AI systems, conversational analytics tools, and machine learning workflows consume structured data • Experience evaluating and adopting analytics engineering tooling at organizational level, such as dbt, Databricks, Snowflake, or similar

🏖️ Benefits

• Equity awards based on factors such as experience, performance and location • Flexible distributed work model through Cloud HQ • Work from a physical location of choice • Inclusive, innovative, and engaging culture where employees are empowered to grow • Equal employment opportunity and accommodation support

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