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Staff Software Engineer, Data Platform - LATAM (Remote)

2 hours ago
Latin America
Full-time
Lead
Software Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure dbt Elasticsearch Flink GCP GraphQL Hive Java Kafka Kubernetes OpenSearch Python REST API SEO Snowflake SQL
Apply Now
Luxury Presence

Luxury Presence

Luxury Presence is a premier provider of real estate websites and digital marketing services tailored for high-grossing agents, teams, and brokers. They combine tech talent with real estate expertise to set a new standard for elite luxury real estate w...

Real Estate
251-1K
Founded 2015
$5M raised
View All Jobs 18

Description

  • Own the end-to-end architecture for MLS and property data across streaming and batch pipelines, microservices, storage layers, and APIs.
  • Design and evolve Kafka-based event-driven data flows for listing ingestion, enrichment, recommendations, and AI use cases.
  • Design, build, and operate backend services in Python or Java that expose listing, property, and recommendation data through APIs and microservices.
  • Implement scalable data processing with Spark or Flink on EMR or similar infrastructure, orchestrated with Airflow and deployed on Kubernetes where applicable.
  • Build and maintain high-volume streaming and batch pipelines that ingest, normalize, and enrich MLS and third-party data.
  • Ensure data quality, lineage, and governance are embedded into the platform to support analytics, AI/ML, and customer-facing features.
  • Collaborate with ML/AI engineers to design and scale AI agents for feed onboarding, discrepancy triage, and other operational workflows.
  • Define and implement evaluation, logging, and feedback loops to continuously improve AI-driven systems and data products.
  • Collaborate with Product, Engineering, and Operations to shape the roadmap for the data platform, MLS capabilities, and AI-powered experiences.
  • Mentor and unblock other engineers through pairing, reviews, and design guidance while raising the overall technical bar.

Requirements

  • 10+ years of professional software engineering experience, including ownership of production systems end to end.
  • Significant experience with data-intensive or distributed systems at scale, with high volume and high availability requirements.
  • Prior experience in a senior, staff, or lead role influencing architecture, standards, and technical direction.
  • Strong programming skills in Python or Java, with experience building microservices and REST or GraphQL APIs.
  • Hands-on experience with Apache Kafka or similar event/messaging platforms such as Kinesis or Pub/Sub.
  • Deep experience with Spark or Flink for large-scale streaming and batch data processing, preferably on EMR or similar compute.
  • Experience with Airflow or equivalent orchestration tools and Kubernetes for running data or compute workloads.
  • Strong SQL and data modeling skills, with solid understanding of ETL/ELT patterns, data warehousing concepts, and performance tuning.
  • Experience building on AWS, preferred, or another major cloud provider with awareness of cost, reliability, and security tradeoffs.
  • Experience building or integrating AI agents into production workflows, with familiarity in frameworks such as PydanticAI, LangGraph, or Claude Code.
  • Comfort working with logs, telemetry, and evaluation metrics to monitor and improve AI-driven systems.
  • Demonstrated ability to lead technical initiatives across teams from idea to production.
  • Track record of mentoring engineers and improving code quality, testing, and design practices.
  • Strong communication skills for explaining complex technical decisions to technical and non-technical stakeholders.
  • Customer and product mindset focused on improving end-user and client experience.
  • Preferred: experience with Iceberg, Hive, Snowflake, Athena, Redshift, dbt, data quality or observability tools, or vector databases such as LanceDB, Pinecone, or Elasticsearch/OpenSearch.
  • Preferred: background in real estate, marketplaces, or other domains where data quality and freshness are highly visible to customers.
  • Preferred: experience in a startup or high-growth environment building or evolving a data platform.

Interested in this position?

Apply directly on the company website

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