Luxury Presence
Senior Analytics Engineer - US (Remote)
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 6 weeks ago · Found 4h ago
Been open since 6 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.
The Role
We're looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance, People, and Operations teams.
You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, financial, and operational data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, billing operations, AI-powered outreach, and semantic layers that let AI agents answer stakeholder questions autonomously.
This is a highly cross-functional role — you'll partner closely with Product Management, Marketing, RevOps, Finance, People Ops, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.
Responsibilities
Build & Own the Data Foundation
Own and evolve our dbt project — ensuring models are performant, well-tested, and documented.
Design and maintain the Snowflake data warehouse and ingestion processes.
Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.
Build and maintain custom Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.
Design and operate cross-system reconciliation models that compare data across source systems to surface discrepancies and protect revenue.
Drive Data Quality & Automation
Implement testing and observability for analytics pipelines.
Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals.
Standardize metric definitions and ensure they are consistently computed across tools.
Investigate and document data incidents end-to-end — from root cause analysis through remediation tracking and stakeholder communication.
Cross-Functional Collaboration
Act as data liaison between Engineering, GTM, and Finance — ensuring consistent metric definitions and proper system instrumentation.
Enable stakeholder self-service access to trusted insights.
Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve.
Build AI-Ready Data Infrastructure
Design and maintain Snowflake Cortex semantic views that serve as the governed data interface for AI agents and LLM-powered tools.
Partner with AI/product teams to scope, build, and validate the semantic layer definitions that power internal AI assistants.
Requirements
- ·5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment.
- ·Deep expertise in SQL, dbt, and modern data modeling best practices.
- ·Proficiency in Python for pipeline development, API integrations, and automation.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Luxury Presence, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 4h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $135k to $210k per year · You'll be taken to the employer's careers page.