Data Engineer - LATAM; Remote

Luxury Presence is building the AI growth platform for real estate, backed by Bessemer Venture Partners and other top investors. The company has hit $100M in annual recurring revenue and serves over 90,000 real estate professionals, including 30% of the WSJ Real Trends top 100 agents.

We’re seeking a Staff Software Engineer to strengthen our real estate MLS data platform squad. The role builds robust data pipelines, backend services, and AI agents that power high-quality MLS data, property discovery, personalized listings, conversational AI agents, and evaluation infrastructure.

• 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 trade‑offs around reliability, performance, and cost.

• 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.

• 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).

• 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, Lang Chain, 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.

• Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI‑powered experiences.
• Translate ambiguous business and customer problems into clear technical strategies and phased delivery plans.
• Mentor and unblock other engineers; elevate the overall level of technical decision‑making on the team via pairing, reviews, and design guidance.

• 10+ years of professional software engineering experience, including owning production systems end‑to‑end.
• Significant experience working with data‑intensive or distributed systems at scale (high volume, high availability).
• Prior experience in a senior or staff/lead role where you influenced architecture, standards, and technical direction.

• Strong programming skills in Python or Java, with experience building microservices and APIs (REST/GraphQL).
• Hands‑on experience with Apache Kafka or similar event/messaging platforms (Kinesis, Pub/Sub, etc.).
• Deep experience with:
  • Spark or Flink for large‑scale data processing, across streaming and batch pipelines (on EMR or similar big‑data compute).
  • Airflow (or equivalent orchestration tools).
  • Kubernetes for running data/compute workloads.
• Strong SQL and data modeling skills; solid understanding of ETL/ELT patterns, data warehousing concepts, and performance tuning.
• Experience building on AWS (preferred) or another major cloud provider, with a good grasp of cost, reliability, and security tradeoffs.

• Experience building or integrating AI agents into production workflows (e.g., internal tools, support automation, operational triage, or data workflows).
• Familiarity…