Senior Data Engineer - AI-Powered Data Platform (Remote)

Luxurypresence; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Luxurypresence is seeking a Sr. Data Engineer to lead the transformation in AI-driven product delivery. You will design high-throughput streaming pipelines and model datasets critical for product experiences. Ideal candidates will have 6+ years of experience and a strong command of data processing systems, particularly with tools like Airflow and Spark Streaming.

As part of a dynamic team, you’ll leverage AI to optimize data operations and ensure quality at scale. The position thrives in ambiguity and fosters a fun work environment while driving significant engineering initiatives.

Qualifications

• 6+ years of professional data or software engineering experience.
• Strong experience with distributed data processing and streaming systems.
• Proficiency in Python, familiarity with Node/TypeScript is a plus.
• Experience building and maintaining data pipelines on AWS.

Responsibilities

• Build and scale high-throughput streaming pipelines.
• Model and deliver high-quality, production-grade real estate datasets.
• Implement data quality checks, monitoring, and alerting.
• Contribute to AI-driven tooling for data operations.

Skills

AI utilization in engineering

Distributed data processing

Data streaming systems

Python proficiency

Data modeling

Leadership in software initiatives

Tools

Airflow

Spark Streaming

Kafka

AWS

Postgres

Kubernetes

Pydantic

Node/TypeScript

Job description

Luxurypresence is seeking a Sr. Data Engineer to lead the transformation in AI-driven product delivery. You will design high-throughput streaming pipelines and model datasets critical for product experiences. Ideal candidates will have 6+ years of experience and a strong command of data processing systems, particularly with tools like Airflow and Spark Streaming.

As part of a dynamic team, you’ll leverage AI to optimize data operations and ensure quality at scale. The position thrives in ambiguity and fosters a fun work environment while driving significant engineering initiatives.