Senior Data Engineer

🕒 Abril 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Luxury Presence

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏠 Imobiliário

Real Estate • Marketing

A Luxury Presence é uma empresa especializada em fornecer soluções digitais de ponta para profissionais do mercado imobiliário. Ela oferece designs de sites imobiliários premiados e soluções de marketing especializadas, voltadas a ajudar corretores, equipes e imobiliárias a expandirem seus negócios e fortalecerem suas marcas. Sua plataforma inclui ferramentas para busca de imóveis via IDX, sites de imóveis, CMA digital (Análise Comparativa de Mercado), serviços de SEO, content marketing, publicidade e gestão de mídias sociais. Confiada por mais de 20 dos 100 principais corretores do ranking do Wall Street Journal, a Luxury Presence capacita profissionais do mercado imobiliário a atrair mais negócios por meio de experiências digitais bonitas e funcionais.

Descrição

• Build and scale high-throughput streaming pipelines. Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations using Airflow, Spark Streaming, Kafka, and Iceberg—ensuring reliability, performance, and data correctness. • Model and deliver high-quality, production-grade real estate datasets. Develop and maintain datasets that power core product experiences, with a focus on data modeling, transformation logic, and balancing freshness, accuracy, and cost. • Strengthen data quality and observability. Implement and improve data quality checks, monitoring, and alerting to detect issues early and reduce downstream impact. • Leverage AI to improve data operations. Contribute to AI-driven tooling that helps triage, debug, and resolve data quality issues, increasing team efficiency and reducing manual intervention.

🎯 Requisitos

• 6+ years of professional data engineering or software engineering experience • Strong experience with distributed data processing and streaming systems (Spark / PySpark, Kafka) • Proficiency in Python (Pydantic preferred) and familiarity with Node/TypeScript is a plus • Experience building and maintaining data pipelines on AWS using tools like Airflow, Spark Streaming, and Iceberg • Solid understanding of data modeling and working with large-scale datasets • Familiarity with event-driven systems and ingestion patterns (Kafka, SQS) • Experience implementing data quality checks, monitoring, and debugging data issues • Interest in applying AI/ML or automation to improve data workflows is a plus • Proven track record leading high-impact initiatives from concept through production in a SaaS environment • Expert-level grasp of software design principles and experience with multi-tenant platform architectures