Lead Data Engineer for AI Integration

About

Elevate your career as a Senior Data Engineer focused on AI-driven architecture and high-impact data solutions. Shape system design and deliver robust pipelines in a dynamic environment.

In this technical leadership role, you'll model and manage sophisticated datasets and enhance data quality. Collaborate on building high-throughput streaming pipelines while leveraging cutting-edge technology like Airflow and Spark. Your insights will directly translate into impactful product experiences, all while operating in a fast-growing setting.

Key Responsibilities:

• Build and scale high-throughput streaming data pipelines
• Develop and maintain core real estate datasets
• Enhance data quality through monitoring and alerts
• Utilize AI tools for data operations improvement
• Communicate complex technical concepts clearly

Requirements:

• 6+ years in data engineering or software development
• Expertise in distributed processing with Spark and Kafka
• Proficient in Python; familiarity with Node/Type Script is a plus
• Experience with AWS data pipeline tools and design
• Strong understanding of data modeling and large-scale datasets

Lead the way in revolutionizing AI-enhanced data operations while enjoying a vibrant team-oriented atmosphere.