Staff Data Engineer - LATAM (Remote) job opportunity at Luxury Presence.



Date2026-03-27 bot
Luxury Presence Staff Data Engineer - LATAM (Remote)
Experience: Highly Experienced
Pattern: Full-time
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loacation Latin America, Latin America
loacation Latin America....Latin America
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<p><span style="font-size: 16px"><b>Luxury Presence </b>is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over </span><span style="font-size: 16px;">30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.</span></p><p><br></p><p><strong style="font-size: 18px;">About the Role</strong></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">We’re seeking a</span><strong style="font-size: 16px;"> Staff Software Engineer</strong><span style="font-size: 16px;"> to strengthen our real estate MLS data platform squad. You will build robust data pipelines and backend services that power:</span></p> <p>&nbsp;</p> <p>• <span style="font-size: 16px;">High-quality MLS and property data across 400+ feeds</span></p> <p>• <span style="font-size: 16px;">Property discovery and search on agent websites</span></p> <p>• <span style="font-size: 16px;">Personalized listing recommendations and other data-driven features</span></p> <p>• <span style="font-size: 16px;">Conversational and operational </span><strong style="font-size: 16px;">AI agents</strong><span style="font-size: 16px;"> that streamline internal workflows</span></p> <p>• <span style="font-size: 16px;">The </span><strong style="font-size: 16px;">evaluation and monitoring infrastructure</strong><span style="font-size: 16px;"> that keeps these systems improving over time</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">This role sits at the intersection of </span><strong style="font-size: 16px;">backend engineering</strong><span style="font-size: 16px;">,</span><strong style="font-size: 16px;"> data infrastructure</strong><span style="font-size: 16px;">,</span><strong style="font-size: 16px;">&nbsp;</strong><span style="font-size: 16px;">and </span><strong style="font-size: 16px;">AI-powered products</strong><span style="font-size: 16px;">.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">Who is the Data Platform Squad?</strong></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">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.</span></p> <p>&nbsp;</p> <p><span style="font-size: 16px;">We also extend the platform to capture user-activity data for user-facing features such as personalized listing recommendations, and we build </span><strong style="font-size: 16px;">AI agents</strong><span style="font-size: 16px;"> 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.</span></p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">What You’ll Do</strong></p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Technical leadership &amp; architecture</strong></p> <p>• <span style="font-size: 16px;">Own the end-to-end architecture for MLS and property data: </span><strong style="font-size: 16px;">streaming and batch pipelines</strong><span style="font-size: 16px;">, microservices, storage layers, and APIs</span></p> <p>• <span style="font-size: 16px;">Design and evolve </span><strong style="font-size: 16px;">event-driven</strong><span style="font-size: 16px;">, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases</span></p> <p>• <span style="font-size: 16px;">Drive technical design reviews, set engineering best practices, and make high-quality tradeoffs around reliability, performance, and cost</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Backend, data &amp; platform engineering</strong></p> <p>• <span style="font-size: 16px;">Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices</span></p> <p>• <span style="font-size: 16px;">Implement scalable data processing with </span><strong style="font-size: 16px;">Spark or Flink</strong><span style="font-size: 16px;"> on </span><strong style="font-size: 16px;">EMR </strong><span style="font-size: 16px;">(or similar), orchestrated via </span><strong style="font-size: 16px;">Airflow</strong><span style="font-size: 16px;"> and running on </span><strong style="font-size: 16px;">Kubernetes</strong><span style="font-size: 16px;"> where applicable</span></p> <p>• <span style="font-size: 16px;">Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on-call participation) for data and backend services</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Streaming &amp; batch data pipelines</strong></p> <p>• <span style="font-size: 16px;">Build and maintain high-volume, schema-evolving </span><strong style="font-size: 16px;">streaming and batch pipelines</strong><span style="font-size: 16px;"> that ingest and normalize MLS and third-party data</span></p> <p>• <span style="font-size: 16px;">Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer-facing features</span></p> <p>• <span style="font-size: 16px;">Partner with analytics engineering and data science to make data discoverable and usable (e.g., semantic layers, documentation, self-service tooling)</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">AI agents &amp; data products</strong></p> <p>• <span style="font-size: 16px;">Collaborate with ML/AI engineers to </span><strong style="font-size: 16px;">design and scale AI agents</strong><span style="font-size: 16px;"> that automate MLS feed onboarding, listing discrepancy triage, and other operational workflows</span></p> <p>• <span style="font-size: 16px;">Work with frameworks such as </span><strong style="font-size: 16px;">PydanticAI, LangChain, or similar</strong><span style="font-size: 16px;"> to integrate LLM-based agents into our data and service architecture</span></p> <p>• <span style="font-size: 16px;">Help define and implement evaluation, logging, and feedback loops so these agents and data-driven products continuously improve</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Cross-functional impact &amp; mentorship</strong></p> <p>• <span style="font-size: 16px;">Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI-powered experiences</span></p> <p>• <span style="font-size: 16px;">Translate ambiguous business and customer problems into clear technical strategies and phased delivery plans</span></p> <p>• <span style="font-size: 16px;">Mentor and unblock other engineers; elevate the overall level of technical decision-making on the team via pairing, reviews, and design guidance</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 18px;">What You’ll Bring</strong></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Experience &amp; scope</strong></p> <p>• <strong style="font-size: 16px;">10+ years</strong><span style="font-size: 16px;"> of professional software engineering experience, including owning production systems end-to-end</span></p> <p>• <span style="font-size: 16px;">Significant experience working with </span><strong style="font-size: 16px;">data-intensive </strong><span style="font-size: 16px;">or</span><strong style="font-size: 16px;"> distributed systems</strong><span style="font-size: 16px;"> at scale (high volume, high availability)</span></p> <p>• <span style="font-size: 16px;">Prior experience in a</span><strong style="font-size: 16px;"> senior </strong><span style="font-size: 16px;">or </span><strong style="font-size: 16px;">staff/lead </strong><span style="font-size: 16px;">role where you influenced architecture, standards, and technical direction</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Core technical skills</strong></p> <p>• <span style="font-size: 16px;">Strong programming skills in </span><strong style="font-size: 16px;">Python or Java</strong><span style="font-size: 16px;">, with experience building </span><strong style="font-size: 16px;">microservices</strong><span style="font-size: 16px;"> and APIs (REST/GraphQL)</span></p> <p><span style="font-size: 16px;">Hands-on experience with</span><strong style="font-size: 16px;"> Apache Kafka</strong><span style="font-size: 16px;"> or similar event/messaging platforms (Kinesis, Pub/Sub, etc.)</span></p> <p>• <strong style="font-size: 16px;">Deep experience with:</strong></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">Spark or Flink</strong><span style="font-size: 16px;"> for large-scale data processing, across </span><strong style="font-size: 16px;">streaming and batch pipelines</strong><span style="font-size: 16px;"> (on EMR or similar big-data compute)</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">Airflow</strong><span style="font-size: 16px;"> (or equivalent orchestration tools)</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">Kubernetes</strong><span style="font-size: 16px;"> for running data/compute workloads</span></p> <p>• <span style="font-size: 16px;">Strong SQL and data modeling skills; solid understanding of </span><strong style="font-size: 16px;">ETL/ELT patterns</strong><span style="font-size: 16px;">, data warehousing concepts, and performance tuning</span></p> <p>• <span style="font-size: 16px;">Experience building on </span><strong style="font-size: 16px;">AWS</strong><span style="font-size: 16px;"> (preferred) or another major cloud provider, with a good grasp of cost, reliability, and security tradeoffs</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">AI agent experience</strong></p> <p>• <span style="font-size: 16px;">Experience </span><strong style="font-size: 16px;">building or integrating AI agents</strong><span style="font-size: 16px;"> into production workflows (e.g., internal tools, support automation, operational triage, or data workflows)</span></p> <p>• <span style="font-size: 16px;">Familiarity with frameworks such as </span><strong style="font-size: 16px;">PydanticAI, LangGraph, Claude Code or similar</strong><span style="font-size: 16px;">, and how they interact with backend services, vector stores, and LLM APIs</span></p> <p>• <span style="font-size: 16px;">Comfort working with logs, telemetry, and evaluation metrics to monitor, debug, and iteratively improve AI-driven systems</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Leadership &amp; collaboration</strong></p> <p>• <span style="font-size: 16px;">Demonstrated ability to lead technical initiatives across teams, from idea to production (alignment, design, implementation, rollout)</span></p> <p>• <span style="font-size: 16px;">Track record of mentoring other engineers and raising the bar on code quality, testing, and design</span></p> <p>• <span style="font-size: 16px;">Strong communication skills; able to clearly explain complex technical decisions to both engineers and non-technical stakeholders</span></p> <p>• <span style="font-size: 16px;">Customer and product mindset: you care about how the data and services you build improve the end-user and client experience, not just the internals</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong style="font-size: 16px;">Nice to Have</strong></p> <p>&nbsp;</p> <p>• <span style="font-size: 16px;">Experience with any of:</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">Iceberg</strong><span style="font-size: 16px;">, Hive, or other table formats/data lake technologies</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">Snowflake, Athena, Redshift</strong><span style="font-size: 16px;">, or other cloud data warehouses</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <strong style="font-size: 16px;">dbt</strong><span style="font-size: 16px;"> or similar transformation frameworks</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <span style="font-size: 16px;">Data quality / observability tools (e.g., Great Expectations, Monte Carlo, Datafold)</span></p> <p><span style="font-size: 16px;">&nbsp;</span> ◦ <span style="font-size: 16px;">Vector databases / retrieval (e.g., LanceDB, Pinecone, Elasticsearch/OpenSearch)</span></p> <p>• <span style="font-size: 16px;">Background in real estate, marketplaces, or other domains where data quality and freshness are highly visible to customers</span></p> <p>• <span style="font-size: 16px;">Prior experience in a startup or high-growth environment where you’ve built or significantly evolved a data platform</span></p>\n<p></p><p><br></p><p></p>\n<p><span style="font-size: 24px"><b>Join us in shaping the future of real estate</b></span></p><p><br></p><p><span style="font-size: 16px">The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.</span></p><p><br></p><p><span style="font-size: 16px">We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.</span></p><p><br></p><p><span style="font-size: 16px">Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.</span></p><p><br></p><p><span style="font-size: 16px">More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner.</span></p><p><br></p><p><span style="font-size: 16px">Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.</span></p><p><br></p><p><b><span style="font-size: 16px">Luxury Presence is an Equal Opportunity Employer.</span></b><span style="font-size: 16px"> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.</span></p>

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