Staff Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Logo of Tango

Tango

201 - 500 employees

🏠 Real Estate

☁️ SaaS

🏢 Enterprise

Real Estate • SaaS • Enterprise

Tango is a software company that provides a connected intelligence platform for managing commercial real estate across the entire property lifecycle. Its SaaS products include portfolio strategy, site selection and predictive analytics, lease and transaction management, project and maintenance coordination, occupancy and workplace tools, and energy & sustainability (utility, emissions, and ESG reporting). Tango serves corporate real estate, retail, landlords, and government customers to optimize space, reduce costs, and meet sustainability goals.

📋 Description

• Build and own the governed semantic and metrics layer. • Design and own the semantic layer that is the single source of truth for Tango's metrics. • Define metrics once, in code, so they resolve consistently across every dashboard. • Model Tango's data on the modern warehouse. • Design and build curated, well-documented, tested data models on Redshift. • Ship embedded, customer-facing analytics on Omni. • Make the data layer trustworthy for AI. • Lead the Oracle BI to Omni migration, hands-on. • Set the standard and level up the team.

🎯 Requirements

• 8 or more years in analytics engineering, data engineering, or business intelligence. • Expert SQL and strong dimensional and semantic data modeling. • Deep experience in a transformation framework such as dbt and a governed metrics or semantic layer. • Strong command of a cloud data warehouse, ideally Amazon Redshift or Snowflake, including performance and cost optimization at scale. • Hands-on experience building embedded, multi-tenant, customer-facing analytics inside a SaaS product. • Experience migrating off a legacy BI platform is a strong plus. • Current understanding of how AI consumes analytics. • Bachelor's or Master's degree in Computer Science, Data, Statistics, Engineering, or a related field, or equivalent practical experience.

🏖️ Benefits

• Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. • Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance. • Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice. • Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.

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