Senior Analytics Engineer

🕒 June 10

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Landing

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

✈️ Travel

🏠 Real Estate

Logistics • Travel • Real Estate

Landing is a membership-based network offering premium furnished apartments and flexible-leasing options across the United States. With more than 7,000 apartments in 375+ cities, Landing provides customers with the opportunity to live anywhere, anytime, whether they are exploring multiple locations or staying in a single city. The company focuses on flexibility, comfort, and technology integration, allowing members to manage their reservations through an app. Benefits include local concierge support and membership perks such as savings on bookings. It caters to both individual residents and corporate housing needs.

📋 Description

• Own Landing's dbt models, data pipelines, and warehouse architecture. • Maintain dbt model library — keeping models clean, tested, documented, and aligned with business data usage. • Manage Landing's ELT stack — including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling. • Establish a finance and operations data spine — authoritative source of truth for core executive KPIs, metric definitions, and warehouse logic. • Develop analytics engineering standards, tooling decisions, and long-term roadmap for data platform. • Foster cross-functional data partnerships with Engineering, FP&A, and Accounting — translate between technical infrastructure and business need. • Enforce data quality standards, testing frameworks, and metric governance practices. • Support executive, board, and investor reporting — work directly impacts high-stakes decision-making and fundraising.

🎯 Requirements

• 5+ years in Analytics Engineering, Data Engineering, or Business Intelligence with a strong backend focus. • Expert-level dbt — production models at scale, with fluency in testing, documentation, lineage, and model architecture best practices. • Strong SQL and deep experience designing data models for analytical use cases. • Hands-on Snowflake experience (or comparable cloud warehouse: Redshift, BigQuery, Vertica). • Experience building and maintaining data pipelines — understand ELT patterns, source system integration, and build for reliability. • Ability to translate between technical infrastructure and business context — able to sit with FP&A or Accounting, understand needs, and build a delivering model. • A bias toward documentation, clarity, and ownership — leave things better than found. • Comfort with ambiguity and fast-moving priorities — judgment matters. • Strong communication skills — able to explain a data model to an analyst and a pipeline failure to a CFO.

🏖️ Benefits

• Competitive compensation + stock options • Comprehensive benefits — Medical, Dental, Vision, Life and AD&D, Disability, Mental Health, Pet, Commuter, FSA or HSA • 401(k) plan and access to ImmediatePay • Generous PTO policy • Opportunities for upward mobility — we want you to grow with us • $750 annually in Landing Stays