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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