Designs, develops, tests, and maintains cloud-based data pipelines and warehouses for large-scale datasets. The role involves data ingestion using Python and SQL, GCP services, production migrations, infrastructure troubleshooting, and optimization. The engineer collaborates with stakeholders to understand project goals and applies AI/LLM tools thoughtfully within data engineering workflows. Responsibilities also include distributed data manipulation, technical guidance, and maintaining scalable, cost-efficient data architecture.

Conduct telephone market research surveys with respondents in the United States and Canada, recruit panel members, record responses accurately, and assist with portal access and technical inquiries. The role requires professional customer service, efficient task management, collaboration with research teams, bilingual English and Spanish communication, and a flexible schedule including weekend shifts. This is a remote position requiring a private workspace, compatible Windows computer, reliable internet, and telephone equipment.