Data Engineer

Landbase leverages the experience of 100+ world class sales professionals and AI to deliver targeted, high-quality leads on autopilot. Our mission is to achieve GTM automation so humans no longer need to work for their software so they can reclaim their day. We're building GTM-1 Omni - the world's first action model purpose built for lead generation.

About the Role

We're seeking a Data Engineer to design and implement scalable data pipelines that power our AI models and analytics.

Required Skills & Experience

• Design and implement ETL pipelines in PySpark and/or Scala Spark
• Orchestrate complex data workflows in Airflow
• Advanced SQL skills and experience with BigQuery
• Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL
• Proficiency with GCP Dataproc and cluster optimization
• Experience handling TB-scale unstructured data
• Optimize database performance and storage strategies
• Create and maintain data quality monitoring systems
• Collaborate with ML Engineers on production model deployment
• Stay current with emerging AI tools and technologies
• 3+ years of experience in large scale data engineering

Nice-to-Have Qualifications

• Experience with PyTorch, Hugging Face, or other ML frameworks
• Background in LLM operations and deployment
• Familiarity with Ray for distributed computing
• Experience with real-time data streaming architectures
• Background in sales/marketing data systems
• Previous experience in startup or AI-driven environments

Benefits & Perks

• Competitive compensation
• Comprehensive health benefits
• Flexible work arrangements
• Professional development opportunities
• Exciting work with cutting-edge AI technology
• Collaborative and innovative work environment
• Regular team events and gatherings