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United States of America Remote

Senior Analytics Engineer – US at Luxury Presence | US (Remote)

Company/Recruiter: Luxury Presence

Published on: 11:01 AM | Sep 20, 2026 $150,000/year · Closes Oct 20, 2026
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AI Summary

Luxury Presence is seeking a highly skilled Senior Analytics Engineer to join our growing team.

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MorrJobs application guide

This this opportunity Senior Analytics Engineer – Us opening is best approached with a focused application that connects your recent experience to the problems Luxury Presence is likely trying to solve in United States of America. Before applying, read the full description, confirm the application method, and tailor your CV or portfolio so the first few lines clearly match the responsibilities below.

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Candidates who can show practical evidence for the listed requirements and can work effectively in remote or distributed work should review this role carefully.

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Luxury Presence is seeking a highly skilled Senior Analytics Engineer to join our growing team. In this remote role, you will play a pivotal part in shaping our data infrastructure and empowering data-driven decision-making as we scale our AI growth platform for the real estate industry. You will collaborate closely with product, engineering, and marketing teams to deliver actionable insights and build robust analytical solutions.

Job Overview

This position is instrumental in enhancing our data capabilities. You will be responsible for designing, building, and maintaining scalable data models and pipelines, ensuring data accuracy and accessibility for various stakeholders across the organization.

Key Responsibilities

  • Develop and optimize data models and ETL/ELT processes to support business intelligence and analytics initiatives.
  • Collaborate with data scientists and analysts to provide clean, reliable data for reporting and experimentation.
  • Implement and maintain data quality checks and monitoring systems.
  • Contribute to the architecture and design of our data platform.
  • Mentor junior team members and share best practices in data engineering.

Requirements

  • Proven experience as an Analytics Engineer or in a similar data engineering role.
  • Proficiency in SQL and experience with data warehousing solutions (e.g., Snowflake, BigQuery).
  • Experience with dbt (data build tool) is highly desirable.
  • Strong understanding of data modeling concepts and best practices.
  • Excellent problem-solving skills and attention to detail.

What We Offer

  • The opportunity to work remotely within the US.
  • A dynamic and collaborative work environment.
  • Be part of a fast-growing, well-funded company.
  • Competitive compensation and benefits.

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