Landing Logo

Landing

Senior Analytics Engineer

Posted 11 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Own and improve dbt models, ELT pipelines, and warehouse architecture (Snowflake or equivalent) to deliver reliable executive KPIs and metric governance. Build data spine for Finance/Operations, enforce data quality/testing, partner cross-functionally with Engineering, FP&A, and Accounting, and influence analytics engineering standards, tooling, and roadmap.
The summary above was generated by AI

About Landing

Since 2019, Landing has built the largest flexible living network in the country — 35+ markets, thousands of apartments, no deposits, no hassle. We’re a data-driven PropTech company and our BI team is the analytical backbone of the business, powering the metrics, pipelines, and data models that leadership depends on every day to make high-stakes decisions.

About the role

This is a backend, infrastructure-first role. You will own Landing’s dbt models, data pipelines, and warehouse architecture — the connective tissue between raw data and the metrics our Finance, Operations, and Revenue teams run on.

This is not a dashboard role. We care more about thoughtful architecture, business impact, and data quality than dashboards shipped or tickets closed. You’ll inherit meaningful ownership from day one and have direct influence on the architecture, standards, and roadmap of our data ecosystem.

You will work closely with our consulting partners during onboarding to ensure a smooth transition of ownership over our current dbt infrastructure.

What you’ll own

  • Our dbt model library — keeping models clean, tested, documented, and aligned with how the business actually uses data, with a focus on onboarding new data sources and pipelines (Heap, Clarity, GA4, and other web-based metrics).
  • Landing’s ELT stack — including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling, with a focus on reliability, performance, and lineage clarity.
  • A finance and operations data spine — the authoritative source of truth for our core executive KPIs, metric definitions, and warehouse logic.
  • Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.
  • Cross-functional data partnerships with Engineering, FP&A, and Accounting — translating between technical infrastructure and business need in both directions, including working closely with Engineering on new field creation in Admin.
  • Data quality standards, testing frameworks, and metric governance practices across the team.
  • Executive, board, and investor reporting — your work directly supports high-stakes decision-making and fundraising activities.
  • Sprint planning and prioritization for the BI request queue, in collaboration with the BI team and cross-functional stakeholders.

What we’re looking for

  • 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 — you understand ELT patterns, source system integration, and how to build for reliability.
  • The ability to translate between technical infrastructure and business context — you can sit with FP&A or Accounting, understand what they actually need, and build a model that delivers it.
  • A bias toward documentation, clarity, and ownership — you leave things better than you found them.
  • Comfort with ambiguity and fast-moving priorities — judgment matters here.
  • Strong communication skills — you can explain a data model to an analyst and a pipeline failure to a CFO.

Nice to have

  • Experience with Sigma or Looker for downstream analytics and dashboard development.
  • Familiarity with PropTech, hospitality, or real estate metrics (occupancy, ADR, RevPAR, NRR).
  • Exposure to data governance frameworks and metric layer tooling (e.g. MetricFlow, dbt Semantic Layer).
  • Python or scripting experience for pipeline automation or data quality tooling.
  • Experience in a high-growth, investor-backed company where data integrity directly supports fundraising and board reporting.

What we offer

  • 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

Landing is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including pregnancy, sexual orientation, gender identity, and related conditions, national origin, age, disability, genetic information, military service or obligation, or any other status protected by applicable federal, state, or local law.

Similar Jobs

21 Days Ago
Easy Apply
Remote
United States
Easy Apply
153K-170K Annually
Senior level
153K-170K Annually
Senior level
Logistics • Marketing Tech • Software
The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.
Top Skills: BigQueryDbtLookerOmniPythonRedshiftSnowflakeSQLTableau
Yesterday
Remote or Hybrid
United States
158K-220K Annually
Senior level
158K-220K Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services
Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.
Top Skills: Ci/CdData Privacy (PiiData WarehouseDbtEltFedrampFips)GdprGitLlms/AiLookerSnowflakeSQL
13 Days Ago
In-Office or Remote
Senior level
Senior level
Information Technology • Software
Contract Senior Analytics Engineer to design and build a dbt-based datamart for onboarding an MMM/incrementality vendor. Translate vendor schema to internal DTC sources, implement dbt models, tests, and docs, configure Snowflake data sharing, and manage GitLab merge request workflows.
Top Skills: AirflowDbt CloudDbt CoreGitlabMetricflowSnowflakeSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account