Senior Data Engineer

🕒 April 10

🇺🇸 United States – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Luxury Presence

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏠 Real Estate

Real Estate • Marketing

Luxury Presence is a company that specializes in providing real estate professionals with top-tier digital solutions. They offer award-winning real estate website designs and expert marketing solutions aimed at helping agents, teams, and brokerages grow their business and build their brand. Their platform includes tools for IDX home search, property websites, digital CMA, SEO services, content marketing, advertising, and social media management. Trusted by over 20 of the top 100 Wall Street Journal agents, Luxury Presence empowers real estate professionals to attract more business through beautiful and functional digital experiences.

📋 Description

• 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.

🎯 Requirements

• 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