Jobs and Careers

Staff Data Engineer - US (Remote)

United States, United StatesRemotefull_timeVerifiedPosted 16 Jun 2026

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.

About the Role

We’re seeking a Staff Software Engineer to strengthen our real estate MLS data platform squad. You will build robust data pipelines and backend services that power:

• High-quality MLS and property data across 400+ feeds

• Property discovery and search on agent websites

• Personalized listing recommendations and other data-driven features

• Conversational and operational AI agents that streamline internal workflows

• The evaluation and monitoring infrastructure that keeps these systems improving over time

This role sits at the intersection of backend engineering, data infrastructure, and AI-powered products.

Who is the Data Platform Squad?

We make sure clean, reliable MLS listing records and user click-stream data are always available to our products and customers. Our current team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources.

We also extend the platform to capture user-activity data for user-facing features such as personalized listing recommendations, and we build AI agents that automate feed onboarding and listing-issue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact.

What You’ll Do

Technical leadership & architecture

• Own the end-to-end architecture for MLS and property data: streaming and batch pipelines, microservices, storage layers, and APIs

• Design and evolve event-driven, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases

• Drive technical design reviews, set engineering best practices, and make high-quality tradeoffs around reliability, performance, and cost

Backend, data & platform engineering

• Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices

• Implement scalable data processing with Spark or Flink on EMR (or similar), orchestrated via Airflow and running on Kubernetes where applicable

• Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on-call participation) for data and backend services

Streaming & batch data pipelines

• Build and maintain high-volume, schema-evolving streaming and batch pipelines that ingest and normalize MLS and third-party data

• Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer-facing features

• Partner with analytics engineering and data science to make data discoverable and usable (e.g., semantic layers, documentation, self-service tooling)

AI agents & data products

• Collaborate with ML/AI engineers to design and scale AI agents that automate MLS feed onboarding, listing discrepancy triage, and other operational workflows

• Work with frameworks such as PydanticAI, LangChain, or similar to integrate LLM-based agents into our data and service architecture

• Help define and implement evaluation, logging, and feedback loops so these agents and data-driven products continuously improve