Staff Analytics Engineer

Job not on LinkedIn

🕒 July 29

🌐 United States, Canada – Remote

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💵 $160k - $190k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 20%

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Logo of Tango

Tango

201 - 500 employees

🏗️ Construction

📦 Logistics

💼 Consulting

Construction • Logistics • Consulting

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 • Define metrics once in code for consistency • Design and build curated, well-documented, tested data models on Redshift • Ship embedded, self-serve analytics experiences • Make the data layer trustworthy for AI • Lead the Oracle BI to Omni migration • Create reusable patterns and libraries to speed up the team • Partner across platform, product, and consumers

🎯 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 • Strong command of Amazon Redshift or Snowflake • Version control, testing, CI/CD, documentation, and data lineage • Hands-on experience building embedded, multi-tenant, customer-facing analytics • Experience migrating off a legacy BI platform • Bachelor’s or Master’s degree in Computer Science, Data, Statistics, Engineering, or a related field

🏖️ Benefits

• Competitive Compensation • Comprehensive Benefits Including health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off • Flexible Work Environment • Inclusive & Collaborative Culture

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