About the role

Sr. Data Engineer at Luxury Presence building AI growth platform for real estate. Shaping platform architecture and driving AI-powered product delivery for innovative solutions.

Responsibilities

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.

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

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.