Data Engineer

Landbase leverages 100+ world class sales professionals and AI to deliver targeted, high-quality leads on autopilot, building GTM-1 Omni for lead generation.
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS
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Description For Data Engineer

Landbase is an innovative company leveraging AI and the expertise of over 100 world-class sales professionals to deliver targeted, high-quality leads automatically. They're building GTM-1 Omni, the world's first action model specifically designed for lead generation, with the mission of achieving GTM automation to help people reclaim their time from software tasks.

The Data Engineer role at Landbase is a crucial position focused on designing and implementing scalable data pipelines that power their AI models and analytics. The ideal candidate will have at least 3 years of experience in large-scale data engineering and be proficient in various technologies including PySpark, Airflow, SQL, and various databases like MongoDB and PostgreSQL.

This position offers an exciting opportunity to work with cutting-edge AI technology and handle TB-scale unstructured data. The role requires strong technical skills in ETL pipeline development, database optimization, and data quality monitoring. The team values collaboration, particularly with ML Engineers on production model deployment.

The company offers an attractive benefits package including competitive compensation, comprehensive health benefits, and flexible work arrangements. The work environment is collaborative and innovative, with regular team events and opportunities for professional development. For those interested in AI, data engineering, and working in a dynamic startup environment, this position offers the chance to make a significant impact while working with modern technologies and frameworks.

Last updated 18 days ago

Responsibilities For Data Engineer

  • 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

Requirements For Data Engineer

Python
MongoDB
PostgreSQL
  • 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
  • 3+ years of experience in large scale data engineering

Benefits For Data Engineer

Medical Insurance
  • 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

Interested in this job?